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         TITLE




                               Practical Data Modeling


              Date:                                                  March 13, 2012
              Time:                                                  2:00 PM ET
              Presenter:                                             Dr. Peter Aiken
              Twitter:                                               #dataed




         PRODUCED BY                                                                      CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                        EDUCATION        3/13/2012           1
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Meet Your Presenter: Dr. Peter Aiken
                                                                               •   Internationally recognized thought-leader in
                                                                                   the data management field with more than 30
                                                                                   years of experience
                                                                               •   Recipient of the 2010 International Stevens
                                                                                   Award
                                                                               •   Founding Director of Data Blueprint
                                                                                   (http://www.datablueprint.com)
                                                                               •   Associate Professor of Information Systems
                                                                                   at Virginia Commonwealth University
                                                                                   (http://vcu.edu)

         •          President of DAMA International (http://dama.org)
         •          DoD Computer Scientist, Reverse Engineering Program Manager/
                    Office of the Chief Information Officer
         •          Visiting Scientist, Software Engineering Institute/Carnegie Mellon
                    University
         •          7 books and dozens of articles
         •          Experienced w/ 500+ data management practices in 20 countries
                                                                                                                                            #dataed
         PRODUCED BY                                                                                                CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                  EDUCATION        3/13/2012           2
© Copyright this and previous years by Data Blueprint - all rights reserved!
Practical Data
                                                                         Modeling




          Dr. Peter Aiken: Practical Data Modeling
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060   EDUCATION    3/13/2012
TITLE
                     Practical Data Modeling
            This presentation provides you with an understanding of the data
            modeling and data development components of data
            management. Participants will understand how the analysis,
            design, implementation, deployment, and maintenance of data
            solutions should be approached in order to maximize the full
            value of the enterprise data resources and activities. Architecting
            in quality is imperative at this level and complements a subset of
            project activities within the system development lifecycle (SDLC)
            focused on defining data requirements, designing data solution
            components, and implementing these components. Participants
            will understand the difficulties organizations experience when
            interacting with data development efforts and how to best
            incorporate these efforts into specific data projects.


         #dataed
         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012           4
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012           5
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
         The DAMA Guide to the Data Management Body of Knowledge
         Published by DAMA
         International
         •          The professional
                    association for Data
                    Managers (40
                    chapters worldwide)
         DMBoK organized
         around
         •          Primary data
                    management
                    functions focused
                    around data delivery
                    to the organization
         •          Organized around
                    several
                    environmental
                    elements


                             Data Management Functions
         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012           6
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
         The DAMA Guide to the Data Management Body of Knowledge

                                                                                            Amazon:
                                                                                             http://
                                                                                             www.amazon.com/
                                                                                             DAMA-Guide-
                                                                                             Management-
                                                                                             Knowledge-DAMA-
                                                                                             DMBOK/dp/
                                                                                             0977140083
                                                                                             Or enter the terms
                                                                                             "dama dm bok" at the
                                                                                             Amazon search
                                                                                             engine




                                                                               Environmental Elements
         PRODUCED BY                                                                 CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                   EDUCATION        3/13/2012           7
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     What is the CDMP?
            • Certified Data Management
              Professional
            • DAMA International and ICCP
            • Membership in a distinct group made
              up of your fellow professionals
            • Recognition for your specialized
              knowledge in a choice of 17 specialty
              areas
            • Series of 3 exams
            • For more information, please visit:
                         – http://www.dama.org/i4a/pages/
                           index.cfm?pageid=3399
                         – http://iccp.org/certification/
                           designations/cdmp
                                                                                                       #dataed
         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012           8
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                               Data Management




                                                                                                                    #dataed
         PRODUCED BY                                                                        CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION       3/13/2012           9
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                               Data Management
                                               Manage data coherently.

                       Data Program
                       Coordination
                                                                                                        Share data across boundaries.
                                                                          Organizational
                                                                          Data Integration



                                                                                     Data Stewardship                     Data Development



               Assign responsibilities for data.
                                                                                                           Engineer data delivery systems.


                                                                                                          Data Support
                                                                                                           Operations

                                           Maintain data availability.

                                                                                                                                                 #dataed
         PRODUCED BY                                                                                                     CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                       EDUCATION        3/13/2012       10
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012           11
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Summary: Data Development




         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                    CLASSIFICATION        DATE            SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                       EDUCATION            3/13/2012             12
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Development Definition
            • Analysis, design, implementation, deployment, and
              maintenance of data solutions to maximize the value of
              the data resources to the enterprise
            • Subset of SDLC – defining and implementing data
              solution components
                         – Primarily databases and data structures but includes screens,
                           reports, interfaces
                         – Now is recognized to include data virtualization, portals, XML
                           delivery, etc.
            • Example:
              data
              definition
              language
              (DDL)
                                                                                                       #dataed
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          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       13
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Modeling Definition
            • Modeling = Analysis and design method
              used to
                         – Define and analyze data requirements
                         – Design data structures that support these
                           requirements

            • Model = set of data specifications and
              related diagrams that reflect
              requirements and designs
                         – Representation of something in our
                           environment
                         – Employs standardized text/symbols to
                           represent data attributes (grouped into data
                           elements) and the relationships among them
                         – Integrated collection of specifications and
                           related diagrams that represent data
                           requirements and design
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         14
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       15
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Modeling
            • Modeling = complex process involving
              interaction between people and with
              technology that don’t compromise the
              integrity or security of the data
            • Good data models accurately express and
              effectively communicate data requirements
              and quality solution design
            • Modeling approach (guided by 2 formulas):
                         – Purpose + audience = deliverables
                         – Deliverables + resources + time = approach
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         16
© Copyright this and previous years by Data Blueprint - all rights reserved!
Data Models Facilitate
         TITLE




                1. Formalization
                            o Data model documents a single,
                              precise definition of data
                              requirements and data-related
                              business rules

                2. Communication
                            o Data model is a bridge to understanding data between people
                              with different levels and types of experience.
                            o Helps understand business area, existing application, or impact
                              of modifying an existing structure
                            o May also facilitate training new business and/or technical staff

                3. Scope
                            o Data model can help explain the data concept and scope of
                              purchased application packages
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         17
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Models: Same But Different
            • Models that include the same data may differ by
            • Scope: Express a perspective about data in
              terms of:
                         – Function: business view vs. application view
                         – Realm: process, department, division, enterprise or
                           industry
                         – Time: current state, short-term future, long-term future
            • Focus:
                         – Conceptual view: Basic and critical concepts
                         – Logical view: Detailed but independent of context
                         – Physical view: Optimized for a specific technology/use
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         18
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Model Uses
            • Use data models to specify the data required for
              information needs
            • Data flows through business processes
              packaged in information products
            • Data contained in these products must meet
              business requirements




         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         19
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Models Used to Support Strategy
                   •         Flexible, adaptable data structures
                   •         Cleaner, less complex code
                   •         Ensure strategy effectiveness measurement
                   •         Build in future capabilities
                   •         Form/assess merger and acquisitions strategies

                                      Employee                                           Employee


                                                                               Sales                         Manager                               Manager


                                                                                               Staff                               Line
         #dataed                             Adapted from Introduction to Data Modeling by Clive Finkelstein in Information Engineering Strategic Systems Development 1992
         PRODUCED BY                                                                                                         CLASSIFICATION      DATE          SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                            EDUCATION          3/13/2012           20
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                       Data Models and Business Rules
                                                                              BR1) Zero, one, or more
                           Person                                          EMPLOYEES can be associated   Job	
  Class
                                                                                with one PERSON


                                                                                                                             BR4) One or
                                                                                                                             more
                                                                     BR2) Zero, one, or more
                                                                                                                             POSITIONS
                                                                     EMPLOYEES can be associated
                                                                                                                             can be
                  Moonligh:ng	
  




                                                                     with one JOB CLASS;
                                                                                                                             associated
                                                                                                                             with one JOB
                                                                                                                             CLASS.



                                                                                      Job	
  Sharing
                                    Employee                                                             Posi:on


                                    BR3) Zero, one, or more EMPLOYEES can be associated with one POSITION
         PRODUCED BY                                                                                        CLASSIFICATION    DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                          EDUCATION         3/13/2012       21
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data
               management components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       22
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Management Functions




                                                                               from The DAMA Guide to the Data Management Body
         #dataed                                                               of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                               CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                  EDUCATION        3/13/2012         23
© Copyright this and previous years by Data Blueprint - all rights reserved!
from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         TITLE
                     Data Modeling and Design Quality Management

                    Analysis
                                                                        Design
                                                                                 Build
                                                                                                              Test
                                                                                                                                        Maintain
            •         Implement development/test database changes
            •         Create and maintain test data
            •         Migrate and convert data
            •         Build and test information products
            •         Build and test data access services
            •         Validate information requirements
            •         Prepare for data deployment
                                                                                                                                                    #dataed
         PRODUCED BY                                                                                               CLASSIFICATION        DATE             SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                  EDUCATION             3/13/2012             24
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Modeling and Data Architecture
            • Data modeling is used to articulate data
              architecture components
            • Data architectures are comprised of components
              – usually expressed as models
            • Styles of data modeling exist – this is a challenge
                         –        IE or information engineering
                         –        IDEF1X used by DoD
                         –        ORM or object role modeling
                         –        UML or unified modeling language
            • Data models are useful
                         – In stand-alone mode
                         – As components of a larger information architecture
                                                                                                       #dataed
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          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       25
© Copyright this and previous years by Data Blueprint - all rights reserved!
Data Architectures produce and are made up of models that are
                                 developed in response to organizational needs




                                                                                                                 satisfy specific organizational needs
                                   Organizational Needs



                 become instantiated
                and integrated into an                                            Data/Information
                                                                                    Architecture



                                                                                  authorizes and
                                                                !                   articulates
                                                                  !
                                                                 " !
                                                                   " !
                                                                     "
                                                             !"#$%&'($")*+,-.&)
                                                                       "
                                                                /.012%.&."-,3
                                                                                                                                                         #dataed
         PRODUCED BY                                                                           CLASSIFICATION   DATE                                       SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                 EDUCATION    3/13/2012                                          26
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   How do Data Models Support Organizational Strategy?
            • Consider the opposite question:
                         – Were your systems explicitly designed to
                           be integrated or otherwise work together?
                         – If not then what is the likelihood that they
                           will work well together?
                         – In all likelihood your organization is spending between
                           20-40% of its IT budget compensating for poor data
                           structure integration
                         – They cannot be helpful as long as their structure is
                           unknown
            • Two answers
                         1. Achieving efficiency and effectiveness goals
                         2. Providing organizational dexterity for rapid implementation
                                                                                                       #dataed
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          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       27
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TITLE
                     How are Data Models Expressed as Architectures?
            • Attributes are organized into entities/objects
                         – Attributes are characteristics of "things"
                         – Entitles/objects are "things" whose information is managed in support of
                           strategy
                         – Examples
            • Entities/objects are organized into models
                         – Combinations of attributes and entities are structured to represent
                           information requirements
                         – Poorly structured data, constrains organizational information delivery
                           capabilities
                         – Examples
            • Models are organized into architectures
                         – When building new systems, architectures are used to plan development
                         – More often, data managers do not know what existing architectures are
                           and - therefore - cannot make use of them in support of strategy
                           implementation
                         – Why no examples?
                                                                                            #dataed
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          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       28
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make
            9. Take Aways, References & Q&A                  Tweeting now:
                                                               #dataed

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          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       29
© Copyright this and previous years by Data Blueprint - all rights reserved!
The Data Model Pyramid
         TITLE




                 Source: Steve Hoberman & George McGeachie, Key Features Needed in a Data
         #dataed                       Modeling Tool; http://www.tdan.com/view-articles/15768
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TITLE
                     Disposition Data Map




         #dataed
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TITLE
                     Disposition Data Map
                          •      At least one but possibly more system USERS enter the DISPOSITION facts into the system.
                          •      An ADMISSION is associated with one and only one DISCHARGE.
                          •      An ADMISSION is associated with zero or more FACILITIES.
                          •      An ADMISSION is associated with zero or more PROVIDERS.
                          •      An ADMISSION is associated with one or more ENCOUNTERS.
                          •      An ENCOUNTER may be recorded by a system USER.
                          •      An ENCOUNTER may be associated with a PROVIDER.
                          •      An ENCOUNTER may be associated with one or more DIAGNOSES.


                                                                               ADMISSION Contains information about patient admission
                                                                                         history related to one or more inpatient
                                                                                         episodes
                                                                               DIAGNOSIS Contains the International Disease
                                                                                         Classification (IDC) of code representation
                                                                                         and/or description of a patient's health related
                                                                                         to an inpatient code
                                                                               DISCHARGE A table of codes describing disposition types
                                                                                         available for an inpatient at a FACILITY
                                                                               ENCOUNTER Tracking information related to inpatient
                                                                                         episodes
                                                                               FACILITY  File containing a list of all facilities in regional
                                                                                         health care system
                                                                               PROVIDER  Full name of a member of the FACILITY team
                                                                                         providing services to the patient
                                                                               USER      Any user with access to create, read, update,
                                                                                         and delete DISPOSITION data



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TITLE
                     Attributes & Definitions                                                          BED
                                                                                                       Bed.Id	
  #
                                                         Attributes arranged into an entity            Bed.Descrip:on
                                                         named "bed" – the attribute Bed.Id
                                                         is the means used to identify a               Bed.Status
                                                         unique occurrence of bed                      Bed.Sex.To.Be.Assigned
                                                                                                       Bed.Reserve.Reason
            Entity:                                                            BED
            Data Asset Type:                                                   Principal Data Entity
            Purpose:                                                           This is a substructure within the        Attributes displayed in a
                                                                               Room substructure of the Facility        manner encouraging their
                                                                               Location. It contains information        reuse as perhaps in a CASE-
                                                                               about beds within rooms.                 tool or metadata repository –
                                                                                                                        A purpose statement
            Source:                                                            Maintenance Manual for File and          describing why the
                                                                               Table Data (Software Version             organization is maintaining
                                                                               3.0, Release 3.1)                        information about these
            Attributes:                                                        Bed.Description                          "business things" – Sources
                                                                               Bed.Status                               of information about it –
                                                                                                                        (A partial) List of the
                                                                               Bed.Sex.To.Be.Assigned                   attributes or characteristics of
                                                                               Bed.Reserve.Reason                       the entity – Associations
            Associations:                                                      >0-+ Room                                with other data items; this is
            Status:                                                            Validated                                read as ROOM contains zero
                                                                                                                        or more BEDS

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© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     ANSI-SPARK 3-Layer Schema
         1. Conceptual - Allows independent
            customized user views:
               – Each should be able to access the same
                 data, but have a different customized view
                 of the data.
         2. Logical - This hides the physical
            storage details from users:
               – Users should not have to deal with
                 physical database storage details. They
                 should be allowed to work with the data
                 itself, without concern for how it is
                 physically stored.
         3. Physical - The database administrator
            should be able to change the
            database storage structures without
            affecting the users’ views:                                        For example, a changeover to a new
               – Changes to the structure of an                                DBMS technology. The database
                 organization's data will be required. The                     administrator should be able to
                 internal structure of the database should                     change the conceptual or global
                 be unaffected by changes to the physical                      structure of the database without
                 aspects of the storage.                                       affecting the users.
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Data Modeling is used throughout the Systems
                          Development Lifecycle




                              Analysis
                                                                               Design
                                                                                                          Build
                                                                                                                                         Test
                                                                                                                                                             Maintain
         #dataed                                                from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International

         PRODUCED BY                                                                                                                        CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                           EDUCATION       3/13/2012       35
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       36
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TITLE
                     Data Modeling & Development Building Blocks



                                                     ü                        ü               ü                     ü                   ü                  ü                    ü
                                                     ü                        ü               ü                     ü                   ü                  ü                    ü




         #dataed                                                                    Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International
         PRODUCED BY                                                                                                                              CLASSIFICATION         DATE              SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                                 EDUCATION              3/13/2012                37
© Copyright this and previous years by Data Blueprint - all rights reserved!
  45
TITLE
                     Summary: Data Development




         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         38
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TITLE
                     Goals and Principles
            1. Identify and define data
               requirements.
            2. Design data structures and
               other solutions to these
               requirements.
            3. Implement and maintain
               solution components that meet
               these requirements.
            4. Ensure solution conformance to
               data architecture and standards
               as appropriate.
            5. Ensure the integrity, security,
               usability, and maintainability of
               structured data assets.
                                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                    CLASSIFICATION        DATE            SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                       EDUCATION            3/13/2012             39
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TITLE
                     Data Modeling/Development Activities
            1. Data modeling, analysis and solution
               design
                        1)             Analyze information requirements
                        2)             Develop and maintain conceptual models
                        3)             Develop and maintain logical models
                        4)             Develop and maintain physical models
            2. Detailed data design
                        1)             Design physical databases
                        2)             Design information products
                        3)             Design data access services
                        4)             Design data integration services
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         40
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TITLE
                     Data Modeling/Development Activities, cont’d
            3. Data model and design quality management
                        1) Develop data modeling and design standards
                        2) Review data model and database design quality
                        3) Manage data model versioning and integration
            4. Data implementation
                        1) Implement development/test
                           database changes
                        1) Create and maintain test data
                        2) Migrate and convert data
                        3) Build and test information products
                        4) Build and test data access services
                        5) Validate information requirements
                        6) Prepare for data deployment
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         41
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TITLE

                     Primary Deliverables
              • Data Requirements and
                Business Rules
              • Conceptual Data Models
              • Logical Data Models and
                Specifications
              • Physical Data Models and
                Specifications
              • Meta-data (Business and
                Technical)                                                                               • Version Controlled Data
                                                                                                           Models
              • Data Modeling and DB design
                Standards                                                                                • Test Data
              • Data Model and DB Design                                                                 • Development and Test
                Reviews                                                                                    Databases
              • Data Integration Services                                                                • Information Products
              • Data Access Services                                                                     • Migrated and Converted Data
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         42
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Primary Deliverables become Reference Material




         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                    CLASSIFICATION        DATE            SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                       EDUCATION            3/13/2012             43
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Data Modeling/Dev. Roles & Responsibilities
            Suppliers:                                                            Consumers:
            •         Data Stewards and SMEs                                      •     Data Producers
            •         IT Steering committee                                       •     Knowledge Workers
            •         Data Governance Council                                     •     Managers and Executives
            •         Data Architects and Analysts                                •     Customers
            •         Software Developers                                         •     Data Professionals
            •         Data Producers                                              •     Other IT Professionals
            •         Information Consumers


            Participants:
            •         Data Stewards and SMEs
            •         Data Architects and Analysts
            •         Database Administrators
            •         Data Model Administrators
            •         Software Developers
            •         Project Managers
            •         DM Executives and other IT Management
           from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                   CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                     EDUCATION        3/13/2012       44
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TITLE
                     Data Modeling/Development Technology



                                                                                                   Testing Tools
                                                                                             Data Profiling Tools
                                                                                            Data Modeling Tools
                                                                                        Office Productivity Tools
                                                                                       Model Management Tools
                                                                                   Software Development Tools
                                                                                Database Management Systems
                                                                                Configuration Management Tools
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         45
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       46
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TITLE
                     Guiding Principles
            1.             Data development activities are
                           an integral part of the software
                           development lifecycle (SDLC).
            2.             Data modeling is an essential
                           technique for effective data
                           management and system design.
            3.             Conceptual and logical data modeling express business and
                           application requirements, while physical data modeling
                           represents solution design.
            4.             Data modeling and database design balances tradeoffs and
                           needs.
            5.             Data professionals should collaborate with other project team
                           members to design information products and data access and
                           integration interfaces.
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         47
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TITLE
                     Guiding Principles, cont’d
            6.             Data modeling and database
                           design should follow documented
                           standards
            7.             Design reviews should review all
                           data models and designs, in order
                           to ensure they meet business
                           requirements and follow design
                           standards.
            6.             Data models represent valuable knowledge resources
                           (metadata). Carefully manage and control them through
                           library, configuration, and change management to ensure
                           data model quality and availability.
            7.             DBAs and other data professionals play important roles in the
                           construction, testing, and deployment of databases and
                           related application systems.
         #dataed                                                               from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
         PRODUCED BY                                                                                                              CLASSIFICATION    DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION        3/13/2012         48
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization:
               7 Mistakes You Cannot Afford to Make                                Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       49
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     7 Mistakes You Can’t Afford to Make
                                                                               Enterprise Data Modeling
                                                                                         Source: Karen Lopez, InfoAdvisors; @datachick
                                       1. Forgetting that an enterprise architecture is a
                                          living framework
                                                   •             Traceability is key to realizing the benefits of an
                                                                 enterprise data management program: Any team
                                                                 member should be able to trace a business concept
                                                                 from the logical model to the physical model to the
                                                                 physical implementation of that concept
                                       2. Keeping data models invisible
                                                   •             In order to deliver business value, a data
                                                                 management effort must be accessible,
                                                                 understandable and shareable.
                                                   •             Models need to be available in an easily searchable
                                                                 manner.
          Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2

         PRODUCED BY                                                                                      CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                         EDUCATION       3/13/2012       50
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TITLE
                     7 Mistakes You Can’t Afford to Make
                                   3.              Assuming that business users can’t understand or
                                                   review models
                                               •            Business users need to be able to access and digest data
                                                            models so they can make informed business decisions
                                               •            It is key to give them data model viewing and reporting
                                                            capabilities
                                               •            Remember: business users who see models regularly are
                                                            more likely to support the allocation of resources to future
                                                            efforts
                                   4. Thinking that data models are only about databases
                                               •            Both logical and physical models support more than just
                                                            databases
                                               •            Allowing team members to import/export metadata
                                                            contributes to a model-driven design environment and
                                                            establishes integration of model metadata with other
                #dataed                                     platforms
          Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2

         PRODUCED BY                                                                                  CLASSIFICATION     DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                     EDUCATION         3/13/2012         51
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     7 Mistakes You Can’t Afford to Make, cont’d
                                   5. Throwing models “over the wall”
                                               •            A modeler is the mediator between business
                                                            requirements and physical implementations
                                               •            He/She should be involved in how requirements are
                                                            captured as well as implemented
                                   6. Forgetting about the sizzle
                                               •            One of the main benefits of effective enterprise data
                                                            management is better communication
                                               •            Models should be interesting and the successful data
                                                            modeler must never underestimate the value of sizzle
                                               •            Presentations of models must be clear and
                                                            understandable
                                               •            Adding color and diagramming objects customizes
                                                            models and allows for a more engaging and enjoyable
                                                            user review process
                #dataed
          Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2

         PRODUCED BY                                                                                  CLASSIFICATION     DATE         SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                     EDUCATION         3/13/2012         52
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     7 Mistakes You Can’t Afford to Make, cont’d
                                   7. Thinking of them as “your” models
                                               •            Most critical mistake is treating data models as if
                                                            the modeler personally owns them
                                               •            Models belong to the business and are tended to
                                                            by the modelers. This means:
                                                           •            Share them openly
                                                           •            Provide access to those who want it
                                                           •            Keep extra printouts available
                                                           •            Offer training on how to read them
                                                           •            Make every effort to make them clear and understandable

                Treating models as technical specifications that are understood
                only by developers and DBAs will not provide the benefits of an
                enterprise architecture
                                                                                                                             #dataed
          Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2

         PRODUCED BY                                                                                     CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                       EDUCATION        3/13/2012        53
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     Outline
            1. Data Management Overview
            2. What is Data Modeling? What is Data
               Development?
            3. Why are they important and how do they
               compare?
            4. Where do they fit in as data management
               components?
            5. Data Modeling/Development Frameworks
            6. Data/Information Architecture Building
               Blocks
            7. Guiding Principles & Best Practices
            8. Improving Data Modeling and Data
               Development within Your Organization: 7
               Mistakes You Cannot Afford to Make                                  Tweeting now:
            9. Take Aways, References & Q&A                                          #dataed

         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060             EDUCATION        3/13/2012       54
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                               References




         PRODUCED BY                                                                        CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                          EDUCATION        3/13/2012       55
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                               References




         PRODUCED BY                                                                        CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                          EDUCATION        3/13/2012       56
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TITLE
                                                                               References




         PRODUCED BY                                                                        CLASSIFICATION   DATE        SLIDE
          DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                          EDUCATION        3/13/2012       57
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TITLE
                                                                                   Questions?




                                                                               +                =

                                 It’s your turn!
               Use the chat feature or Twitter (#dataed) to submit
                         your questions to Peter now.

         PRODUCED BY                                                                            CLASSIFICATION   DATE        SLIDE
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TITLE
                     Upcoming Events
            April Webinar:
            Data Operations Management:
            Turning your Challenges Into Success
            April 10, 2012 @ 2:00 PM ET/11:00 AM PT

            May Webinar:
            How Safe is Your Data? Data Security Webinar
            May 15, 2012 @ 2:00 PM ET/11:00 AM PT

            Sign up here:
            •         www.datablueprint.com/webinar-schedule
            •         www.Dataversity.net
            Brought to you by:




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Data-Ed Online: Practical Data Modeling

  • 1. Welcome! TITLE Practical Data Modeling Date: March 13, 2012 Time: 2:00 PM ET Presenter: Dr. Peter Aiken Twitter: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 1 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 2. TITLE Meet Your Presenter: Dr. Peter Aiken • Internationally recognized thought-leader in the data management field with more than 30 years of experience • Recipient of the 2010 International Stevens Award • Founding Director of Data Blueprint (http://www.datablueprint.com) • Associate Professor of Information Systems at Virginia Commonwealth University (http://vcu.edu) • President of DAMA International (http://dama.org) • DoD Computer Scientist, Reverse Engineering Program Manager/ Office of the Chief Information Officer • Visiting Scientist, Software Engineering Institute/Carnegie Mellon University • 7 books and dozens of articles • Experienced w/ 500+ data management practices in 20 countries #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 2 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 3. Practical Data Modeling Dr. Peter Aiken: Practical Data Modeling DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012
  • 4. TITLE Practical Data Modeling This presentation provides you with an understanding of the data modeling and data development components of data management. Participants will understand how the analysis, design, implementation, deployment, and maintenance of data solutions should be approached in order to maximize the full value of the enterprise data resources and activities. Architecting in quality is imperative at this level and complements a subset of project activities within the system development lifecycle (SDLC) focused on defining data requirements, designing data solution components, and implementing these components. Participants will understand the difficulties organizations experience when interacting with data development efforts and how to best incorporate these efforts into specific data projects. #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 4 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 5. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 5 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 6. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around • Primary data management functions focused around data delivery to the organization • Organized around several environmental elements Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 6 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 7. TITLE The DAMA Guide to the Data Management Body of Knowledge Amazon: http:// www.amazon.com/ DAMA-Guide- Management- Knowledge-DAMA- DMBOK/dp/ 0977140083 Or enter the terms "dama dm bok" at the Amazon search engine Environmental Elements PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 7 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 8. TITLE What is the CDMP? • Certified Data Management Professional • DAMA International and ICCP • Membership in a distinct group made up of your fellow professionals • Recognition for your specialized knowledge in a choice of 17 specialty areas • Series of 3 exams • For more information, please visit: – http://www.dama.org/i4a/pages/ index.cfm?pageid=3399 – http://iccp.org/certification/ designations/cdmp #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 8 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 9. TITLE Data Management #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 9 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 10. TITLE Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Engineer data delivery systems. Data Support Operations Maintain data availability. #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 10 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 11. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 11 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 12. TITLE Summary: Data Development #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 13. TITLE Data Development Definition • Analysis, design, implementation, deployment, and maintenance of data solutions to maximize the value of the data resources to the enterprise • Subset of SDLC – defining and implementing data solution components – Primarily databases and data structures but includes screens, reports, interfaces – Now is recognized to include data virtualization, portals, XML delivery, etc. • Example: data definition language (DDL) #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 13 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 14. TITLE Data Modeling Definition • Modeling = Analysis and design method used to – Define and analyze data requirements – Design data structures that support these requirements • Model = set of data specifications and related diagrams that reflect requirements and designs – Representation of something in our environment – Employs standardized text/symbols to represent data attributes (grouped into data elements) and the relationships among them – Integrated collection of specifications and related diagrams that represent data requirements and design #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 14 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 15. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 15 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 16. TITLE Data Modeling • Modeling = complex process involving interaction between people and with technology that don’t compromise the integrity or security of the data • Good data models accurately express and effectively communicate data requirements and quality solution design • Modeling approach (guided by 2 formulas): – Purpose + audience = deliverables – Deliverables + resources + time = approach #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 16 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 17. Data Models Facilitate TITLE 1. Formalization o Data model documents a single, precise definition of data requirements and data-related business rules 2. Communication o Data model is a bridge to understanding data between people with different levels and types of experience. o Helps understand business area, existing application, or impact of modifying an existing structure o May also facilitate training new business and/or technical staff 3. Scope o Data model can help explain the data concept and scope of purchased application packages #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 17 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 18. TITLE Data Models: Same But Different • Models that include the same data may differ by • Scope: Express a perspective about data in terms of: – Function: business view vs. application view – Realm: process, department, division, enterprise or industry – Time: current state, short-term future, long-term future • Focus: – Conceptual view: Basic and critical concepts – Logical view: Detailed but independent of context – Physical view: Optimized for a specific technology/use #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 18 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 19. TITLE Data Model Uses • Use data models to specify the data required for information needs • Data flows through business processes packaged in information products • Data contained in these products must meet business requirements #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 19 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 20. TITLE Data Models Used to Support Strategy • Flexible, adaptable data structures • Cleaner, less complex code • Ensure strategy effectiveness measurement • Build in future capabilities • Form/assess merger and acquisitions strategies Employee Employee Sales Manager Manager Staff Line #dataed Adapted from Introduction to Data Modeling by Clive Finkelstein in Information Engineering Strategic Systems Development 1992 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 20 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 21. TITLE Data Models and Business Rules BR1) Zero, one, or more Person EMPLOYEES can be associated Job  Class with one PERSON BR4) One or more BR2) Zero, one, or more POSITIONS EMPLOYEES can be associated can be Moonligh:ng   with one JOB CLASS; associated with one JOB CLASS. Job  Sharing Employee Posi:on BR3) Zero, one, or more EMPLOYEES can be associated with one POSITION PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 21 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 22. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 22 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 23. TITLE Data Management Functions from The DAMA Guide to the Data Management Body #dataed of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 23 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 24. from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International TITLE Data Modeling and Design Quality Management Analysis Design Build Test Maintain • Implement development/test database changes • Create and maintain test data • Migrate and convert data • Build and test information products • Build and test data access services • Validate information requirements • Prepare for data deployment #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 24 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 25. TITLE Data Modeling and Data Architecture • Data modeling is used to articulate data architecture components • Data architectures are comprised of components – usually expressed as models • Styles of data modeling exist – this is a challenge – IE or information engineering – IDEF1X used by DoD – ORM or object role modeling – UML or unified modeling language • Data models are useful – In stand-alone mode – As components of a larger information architecture #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 25 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 26. Data Architectures produce and are made up of models that are developed in response to organizational needs satisfy specific organizational needs Organizational Needs become instantiated and integrated into an Data/Information Architecture authorizes and ! articulates ! " ! " ! " !"#$%&'($")*+,-.&) " /.012%.&."-,3 #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 26 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 27. TITLE How do Data Models Support Organizational Strategy? • Consider the opposite question: – Were your systems explicitly designed to be integrated or otherwise work together? – If not then what is the likelihood that they will work well together? – In all likelihood your organization is spending between 20-40% of its IT budget compensating for poor data structure integration – They cannot be helpful as long as their structure is unknown • Two answers 1. Achieving efficiency and effectiveness goals 2. Providing organizational dexterity for rapid implementation #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 27 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 28. TITLE How are Data Models Expressed as Architectures? • Attributes are organized into entities/objects – Attributes are characteristics of "things" – Entitles/objects are "things" whose information is managed in support of strategy – Examples • Entities/objects are organized into models – Combinations of attributes and entities are structured to represent information requirements – Poorly structured data, constrains organizational information delivery capabilities – Examples • Models are organized into architectures – When building new systems, architectures are used to plan development – More often, data managers do not know what existing architectures are and - therefore - cannot make use of them in support of strategy implementation – Why no examples? #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 28 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 29. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make 9. Take Aways, References & Q&A Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 29 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 30. The Data Model Pyramid TITLE Source: Steve Hoberman & George McGeachie, Key Features Needed in a Data #dataed Modeling Tool; http://www.tdan.com/view-articles/15768 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 30 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 31. TITLE Disposition Data Map #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 31 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 32. TITLE Disposition Data Map • At least one but possibly more system USERS enter the DISPOSITION facts into the system. • An ADMISSION is associated with one and only one DISCHARGE. • An ADMISSION is associated with zero or more FACILITIES. • An ADMISSION is associated with zero or more PROVIDERS. • An ADMISSION is associated with one or more ENCOUNTERS. • An ENCOUNTER may be recorded by a system USER. • An ENCOUNTER may be associated with a PROVIDER. • An ENCOUNTER may be associated with one or more DIAGNOSES. ADMISSION Contains information about patient admission history related to one or more inpatient episodes DIAGNOSIS Contains the International Disease Classification (IDC) of code representation and/or description of a patient's health related to an inpatient code DISCHARGE A table of codes describing disposition types available for an inpatient at a FACILITY ENCOUNTER Tracking information related to inpatient episodes FACILITY File containing a list of all facilities in regional health care system PROVIDER Full name of a member of the FACILITY team providing services to the patient USER Any user with access to create, read, update, and delete DISPOSITION data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 32 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 33. TITLE Attributes & Definitions BED Bed.Id  # Attributes arranged into an entity Bed.Descrip:on named "bed" – the attribute Bed.Id is the means used to identify a Bed.Status unique occurrence of bed Bed.Sex.To.Be.Assigned Bed.Reserve.Reason Entity: BED Data Asset Type: Principal Data Entity Purpose: This is a substructure within the Attributes displayed in a Room substructure of the Facility manner encouraging their Location. It contains information reuse as perhaps in a CASE- about beds within rooms. tool or metadata repository – A purpose statement Source: Maintenance Manual for File and describing why the Table Data (Software Version organization is maintaining 3.0, Release 3.1) information about these Attributes: Bed.Description "business things" – Sources Bed.Status of information about it – (A partial) List of the Bed.Sex.To.Be.Assigned attributes or characteristics of Bed.Reserve.Reason the entity – Associations Associations: >0-+ Room with other data items; this is Status: Validated read as ROOM contains zero or more BEDS PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 33 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 34. TITLE ANSI-SPARK 3-Layer Schema 1. Conceptual - Allows independent customized user views: – Each should be able to access the same data, but have a different customized view of the data. 2. Logical - This hides the physical storage details from users: – Users should not have to deal with physical database storage details. They should be allowed to work with the data itself, without concern for how it is physically stored. 3. Physical - The database administrator should be able to change the database storage structures without affecting the users’ views: For example, a changeover to a new – Changes to the structure of an DBMS technology. The database organization's data will be required. The administrator should be able to internal structure of the database should change the conceptual or global be unaffected by changes to the physical structure of the database without aspects of the storage. affecting the users. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 34 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 35. Data Modeling is used throughout the Systems Development Lifecycle Analysis Design Build Test Maintain #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 35 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 36. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 36 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 37. TITLE Data Modeling & Development Building Blocks ü ü ü ü ü ü ü ü ü ü ü ü ü ü #dataed Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 37 © Copyright this and previous years by Data Blueprint - all rights reserved! 45
  • 38. TITLE Summary: Data Development #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 38 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 39. TITLE Goals and Principles 1. Identify and define data requirements. 2. Design data structures and other solutions to these requirements. 3. Implement and maintain solution components that meet these requirements. 4. Ensure solution conformance to data architecture and standards as appropriate. 5. Ensure the integrity, security, usability, and maintainability of structured data assets. from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 39 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 40. TITLE Data Modeling/Development Activities 1. Data modeling, analysis and solution design 1) Analyze information requirements 2) Develop and maintain conceptual models 3) Develop and maintain logical models 4) Develop and maintain physical models 2. Detailed data design 1) Design physical databases 2) Design information products 3) Design data access services 4) Design data integration services #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 40 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 41. TITLE Data Modeling/Development Activities, cont’d 3. Data model and design quality management 1) Develop data modeling and design standards 2) Review data model and database design quality 3) Manage data model versioning and integration 4. Data implementation 1) Implement development/test database changes 1) Create and maintain test data 2) Migrate and convert data 3) Build and test information products 4) Build and test data access services 5) Validate information requirements 6) Prepare for data deployment #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 41 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 42. TITLE Primary Deliverables • Data Requirements and Business Rules • Conceptual Data Models • Logical Data Models and Specifications • Physical Data Models and Specifications • Meta-data (Business and Technical) • Version Controlled Data Models • Data Modeling and DB design Standards • Test Data • Data Model and DB Design • Development and Test Reviews Databases • Data Integration Services • Information Products • Data Access Services • Migrated and Converted Data #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 42 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 43. TITLE Primary Deliverables become Reference Material #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 43 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 44. TITLE Data Modeling/Dev. Roles & Responsibilities Suppliers: Consumers: • Data Stewards and SMEs • Data Producers • IT Steering committee • Knowledge Workers • Data Governance Council • Managers and Executives • Data Architects and Analysts • Customers • Software Developers • Data Professionals • Data Producers • Other IT Professionals • Information Consumers Participants: • Data Stewards and SMEs • Data Architects and Analysts • Database Administrators • Data Model Administrators • Software Developers • Project Managers • DM Executives and other IT Management from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 44 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 45. TITLE Data Modeling/Development Technology Testing Tools Data Profiling Tools Data Modeling Tools Office Productivity Tools Model Management Tools Software Development Tools Database Management Systems Configuration Management Tools #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 45 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 46. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 46 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 47. TITLE Guiding Principles 1. Data development activities are an integral part of the software development lifecycle (SDLC). 2. Data modeling is an essential technique for effective data management and system design. 3. Conceptual and logical data modeling express business and application requirements, while physical data modeling represents solution design. 4. Data modeling and database design balances tradeoffs and needs. 5. Data professionals should collaborate with other project team members to design information products and data access and integration interfaces. #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 47 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 48. TITLE Guiding Principles, cont’d 6. Data modeling and database design should follow documented standards 7. Design reviews should review all data models and designs, in order to ensure they meet business requirements and follow design standards. 6. Data models represent valuable knowledge resources (metadata). Carefully manage and control them through library, configuration, and change management to ensure data model quality and availability. 7. DBAs and other data professionals play important roles in the construction, testing, and deployment of databases and related application systems. #dataed from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 48 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 49. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 49 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 50. TITLE 7 Mistakes You Can’t Afford to Make Enterprise Data Modeling Source: Karen Lopez, InfoAdvisors; @datachick 1. Forgetting that an enterprise architecture is a living framework • Traceability is key to realizing the benefits of an enterprise data management program: Any team member should be able to trace a business concept from the logical model to the physical model to the physical implementation of that concept 2. Keeping data models invisible • In order to deliver business value, a data management effort must be accessible, understandable and shareable. • Models need to be available in an easily searchable manner. Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 50 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 51. TITLE 7 Mistakes You Can’t Afford to Make 3. Assuming that business users can’t understand or review models • Business users need to be able to access and digest data models so they can make informed business decisions • It is key to give them data model viewing and reporting capabilities • Remember: business users who see models regularly are more likely to support the allocation of resources to future efforts 4. Thinking that data models are only about databases • Both logical and physical models support more than just databases • Allowing team members to import/export metadata contributes to a model-driven design environment and establishes integration of model metadata with other #dataed platforms Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 51 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 52. TITLE 7 Mistakes You Can’t Afford to Make, cont’d 5. Throwing models “over the wall” • A modeler is the mediator between business requirements and physical implementations • He/She should be involved in how requirements are captured as well as implemented 6. Forgetting about the sizzle • One of the main benefits of effective enterprise data management is better communication • Models should be interesting and the successful data modeler must never underestimate the value of sizzle • Presentations of models must be clear and understandable • Adding color and diagramming objects customizes models and allows for a more engaging and enjoyable user review process #dataed Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 52 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 53. TITLE 7 Mistakes You Can’t Afford to Make, cont’d 7. Thinking of them as “your” models • Most critical mistake is treating data models as if the modeler personally owns them • Models belong to the business and are tended to by the modelers. This means: • Share them openly • Provide access to those who want it • Keep extra printouts available • Offer training on how to read them • Make every effort to make them clear and understandable Treating models as technical specifications that are understood only by developers and DBAs will not provide the benefits of an enterprise architecture #dataed Source: Karen Lopez http://www.information-management.com/newsletters/enterprise_architecture_data_model_ERP_BI-10020246-1.html?pg=2 PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 53 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 54. TITLE Outline 1. Data Management Overview 2. What is Data Modeling? What is Data Development? 3. Why are they important and how do they compare? 4. Where do they fit in as data management components? 5. Data Modeling/Development Frameworks 6. Data/Information Architecture Building Blocks 7. Guiding Principles & Best Practices 8. Improving Data Modeling and Data Development within Your Organization: 7 Mistakes You Cannot Afford to Make Tweeting now: 9. Take Aways, References & Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 54 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 55. TITLE References PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 55 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 56. TITLE References PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 56 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 57. TITLE References PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 57 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 58. TITLE Questions? + = It’s your turn! Use the chat feature or Twitter (#dataed) to submit your questions to Peter now. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 58 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 59. TITLE Upcoming Events April Webinar: Data Operations Management: Turning your Challenges Into Success April 10, 2012 @ 2:00 PM ET/11:00 AM PT May Webinar: How Safe is Your Data? Data Security Webinar May 15, 2012 @ 2:00 PM ET/11:00 AM PT Sign up here: • www.datablueprint.com/webinar-schedule • www.Dataversity.net Brought to you by: PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 3/13/2012 59 © Copyright this and previous years by Data Blueprint - all rights reserved!