Much like project team management and home improvement, Data Governance sounds a lot simpler than it actually is. In a nutshell, Data Governance is the process by which an organization delegates responsibility and exercises control over mission-critical data assets. In practice, though, Data Governance directs how all other Data Management functions are performed, meaning that much of your Data Management strategy’s capacity to function at all depends on your effectiveness in governing its implementation. Understanding these aspects of governance is necessary to eliminate the ambiguity that often surrounds effective Data Management and stewardship programs, since the goal of governance is to manage the data that supports organizational strategy.
This webinar will:
Illustrate what Data Governance functions are required for effective Data Management, how they fit with other Data Management disciplines, and why Data Governance can be tricky for many organizations
Help you develop a detailed vocabulary and set of narratives to facilitate understanding of your business objectives and imperatives that demand governance
Provide direction for selling Data Governance to organizational management as a specifically motivated initiative
Discuss foundational Data Governance concepts based on “The DAMA Guide to the Data Management Body of Knowledge” (DAMA DMBOK)
1. Peter Aiken, Ph.D.
Data Governance Strategies
Copyright 2018 by Data Blueprint Slide # !1
• DAMA International President 2009-2013
• DAMA International Achievement Award 2001 (with
Dr. E. F. "Ted" Codd
• DAMA International Community Award 2005
Peter Aiken, Ph.D.
• 33+ years in data management
• Repeated international recognition
• Founder, Data Blueprint (datablueprint.com)
• Associate Professor of IS (vcu.edu)
• DAMA International (dama.org)
• 10 books and dozens of articles
• Experienced w/ 500+ data
management practices
• Multi-year immersions:
– US DoD (DISA/Army/Marines/DLA)
– Nokia
– Deutsche Bank
– Wells Fargo
– Walmart
– … PETER AIKEN WITH JUANITA BILLINGS
FOREWORD BY JOHN BOTTEGA
MONETIZING
DATA MANAGEMENT
Unlocking the Value in Your Organization’s
Most Important Asset.
The Case for the
Chief Data Officer
Recasting the C-Suite to Leverage
Your MostValuable Asset
Peter Aiken and
Michael Gorman
Copyright 2018 by Data Blueprint Slide #
2. Experian enables organizations to unlock the power of data. We focus on the quality of our clients’
information so they can explore the meaningful ways they can use it.
We have the data, expertise, and proven technology to help our customers quickly turn information
into insight. To learn more, visit www.edq.com.
6. Confusion
• IT thinks data is a business problem
– "If they can connect to the server, then my job is done!"
• The business thinks IT is managing data adequately
– "Who else would be taking care of it?"
!3Copyright 2018 by Data Blueprint Slide #
Separating the Wheat from the Chaff
!4Copyright 2018 by Data Blueprint Slide #
7. Separating the Wheat from the Chaff
• Better organized data increases in value
• Poor data management practices are costing
organizations much money/time/effort
• Minimally 80% of organizational data is ROT
– Redundant
– Obsolete
– Trivial
• The question is
– Which data to eliminate?
!5Copyright 2018 by Data Blueprint Slide #
Incomplete
Data Assets Win!
Data
Assets
Financial
Assets
Real
Estate Assets
Inventory
Assets
Non-
depletable
Available for
subsequent
use
Can be
used up
Can be
used up
Non-
degrading √ √ Can degrade
over time
Can degrade
over time
Durable Non-taxed √ √
Strategic
Asset √ √ √ √
Data Assets Win!
• Today, data is the most powerful, yet underutilized and poorly
managed organizational asset
• Data is your
– Sole
– Non-depletable
– Non-degrading
– Durable
– Strategic
• Asset
– Data is the new oil!
– Data is the new (s)oil!
– Data is the new bacon!
• As such, data deserves:
– It's own strategy
– Attention on par with similar organizational assets
– Professional ministration to make up for past neglect
!6Copyright 2018 by Data Blueprint Slide #
Asset: A resource controlled by the organization as a result of past events or
transactions and from which future economic benefits are expected to flow [Wikipedia]
8. Managing Data with Guidance?
!7Copyright 2018 by Data Blueprint Slide #
• Federal employees
• 44 users from whitehouse.gov
• Thousands of military and
government e-mails
• Canadian citizens
• One-fifth of Quebec
Managing Data with Guidance?
!8Copyright 2018 by Data Blueprint Slide #
9.
Ashley
Madison
37,000,000
25,000,000
OPM
70,000,000
Target
How the Government Jeopardized
Our National Security
for More than a Generation
!9Copyright 2018 by Data Blueprint Slide #
!10Copyright 2018 by Data Blueprint Slide #
https://oversight.house.gov/report/opm-data-breach-government-jeopardized-national-security-generation/
How the Government Jeopardized Our National
Security for More than a Generation
10. Lewis in front of the cummins safe
!11Copyright 2018 by Data Blueprint Slide #
!
!12Copyright 2018 by Data Blueprint Slide #
Beth Jacobs abruptly
resigned in March
These decisions have consequences!
11. Why is Data Governance important?
• Cost organizations
millions each year in
– Productivity
– Redundant and siloed
efforts
– Poorly thought out
hardware and software
purchases
– Delayed decision
making using
inadequate information
– Reactive instead of
proactive initiatives
– 20-40% of IT spending
can be reduced through
better data governance
!13Copyright 2018 by Data Blueprint Slide #
The DAMA Guide to the Data Management Body of Knowledge
• Published by
DAMA
International
– The professional
association for
Data Managers (40
chapters
worldwide)
• DM BoK organized
around
– Primary data
management
functions focused
around data
delivery to the
organization
– Organized around
several
environmental
elements
!14Copyright 2018 by Data Blueprint Slide #
Data
Management
Functions
13. !17Copyright 2018 by Data Blueprint Slide #
Organizational
Strategy
Data Strategy
IT Projects
Organizational Operations
Data
Governance
Data Strategy and Data Governance in Context
Data
asset support for
organizational
strategy
What the
data assets do to
support strategy
How well the data
strategy is working
Operational
feedback
How data is
delivered by IT
How IT
supports strategy
Other
aspects of
organizational
strategy
!18Copyright 2018 by Data Blueprint Slide #
Data Strategy
Data
Governance
Data Strategy & Data Governance
What the data
assets do to support
strategy
How well the data
strategy is working
(Business Goals)
(Metadata)
14. Simon Sinek: How great leaders inspire action
!19Copyright 2018 by Data Blueprint Slide #
http://www.ted.com/talks/simon_sinek_how_great_leaders_inspire_action.html
What
How
Why
• “It’s not what you do,
it’s why you do it”
• Rev. Martin Luther King Jr.
gave the
- "I have a dream speech"
- not the
- "I have a plan speech"
What is a Strategy?
• Current use derived from military
• "a pattern in a stream of decisions" [Henry Mintzberg]
!20Copyright 2018 by Data Blueprint Slide #
15. Strategy in Action: Napoleon defeats a larger enemy
• Question?
– How to I defeat the competition when their forces
are bigger than mine?
• Answer:
– Divide
and
conquer!
– “a pattern
in a stream
of decisions”
!21Copyright 2018 by Data Blueprint Slide #
– “a pattern
in a stream
of decisions”
!22Copyright 2018 by Data Blueprint Slide #
Supply Line Metadata
17. Wayne Gretzky’s
Definition of Strategy
He skates to where he
thinks the puck will be ...
!25Copyright 2018 by Data Blueprint Slide #
Former Walmart Business Strategy
!26Copyright 2018 by Data Blueprint Slide #
Every
Day Low
Price
18. Corporate Governance
• "Corporate governance - which
can be defined narrowly as the
relationship of a company to its
shareholders or, more broadly,
as its relationship to society….",
Financial Times, 1997.
• "Corporate governance is about
promoting corporate fairness,
transparency and
accountability" James Wolfensohn, World
Bank, President Financial Times, June 1999.
• “Corporate governance deals
with the ways in which suppliers
of finance to corporations
assure themselves of getting a
return on their investment”,
The Journal of Finance, Shleifer and Vishny, 1997.
!27Copyright 2018 by Data Blueprint Slide #
Definition of IT Governance
IT Governance:
• "putting structure around how organizations align IT strategy with business strategy,
ensuring that companies stay on track to achieve their strategies and goals, and
implementing good ways to measure IT’s performance.
• It makes sure that all stakeholders’ interests
are taken into account and that processes
provide measurable results.
• An IT governance framework should
answer some key questions, such
as how the IT department is functioning
overall, what key metrics management
needs and what return IT is giving back
to the business from the investment it’s
making." CIO Magazine (May 2007)
IT Governance Institute, five areas of focus:
• Strategic Alignment
• Value Delivery
• Resource Management
• Risk Management
• Performance Measures
!28Copyright 2018 by Data Blueprint Slide #
19. No clear connection exists between to business priorities and IT initiatives
!29Copyright 2018 by Data Blueprint Slide #
Grow expenses
slower than
sales
Grow operating
income faster
than sales
Pass on
savings
Drive efficiency
with technology
Leverage scale
globally
Leverage
expertise
Deploy new
formats
Grow
productivity of
existing assets
Attract new
members
Expand into
new channels
Enter new
markets
Make
acquisitions
Produce
significant free
cash flow
Drive ROI
performance
Deliver greater
shareholder
value
Customer
Perspectiv
e
Open new
stores
Develop new,
innovative
formats
Appeal to new
demographics
Integrate
shopping
experience
Develop new,
innovative
formats
Remain
relevant to all
customers
Increase
"Green" Image
Internal
Perspectiv
e
Create
competitive
advantages
Improve use of
information
Strengthen
supply chain
Improve
Associate
productivity
Making
acquisitions
Increase
benefit from
our global
expertise
Present
consistent
view and
experience
Integrate
channels
Match staffing
to store needs
Increase sell
through
Financial
Perspectiv
e
Reduce
expenses
Inventory
Management
Human and
Intell. Capital
investment
Manage new
facilities
Improve
Sales and
margin by
facilities
Increased
member-base
revenues
Revenue
growth
Cash flow
Return on
Capital
Walmart Strategy Map
See more uniform brand and retail
experience
Leverage Growth Return
Gross Margin Improvement
CEOPerspective
Attract more customers & have customer purchasing more
Associate
Productivity
Customer
Insights
Human Capital Corp. Reputation Acquisition Strategic Planning
Real estate CRM CRM
Analytic and reporting processes
Corporate Reputation - Risk Management, Compliance, Marketing, IT and Data Governance
Corporate Processes
Corporate Data
Inventory Mgmt
TransformationPortfolio
Supply Chain
Multi ChannelMerchant ToolsSupply Chain
Strategic Initiatives
AcctingSales
Transactional Processing
Logistics AssociateLocations and Codes
Item
CustomerSuppliers
Retail Planning
( Alignment Gap )
Adapted from John Ladley
Data Strategy in Context
!30Copyright 2018 by Data Blueprint Slide #
Organizational
Strategy
IT Strategy
Data Strategy
20. Organizational
Strategy
IT Strategy
Data Strategy
This is wrong!
!31Copyright 2018 by Data Blueprint Slide #
Organizational
Strategy
IT Strategy
Data Strategy
Organizational
Strategy
IT Strategy
This is correct …
!32Copyright 2018 by Data Blueprint Slide #
Data Strategy
21. Data Governance Strategies
• Strategy
– Term of Recent Usage
– Context: Organizational -> IT -> Data
– Difficult Choices
• Data Governance
– What is it?
– Why is it important?
– Requirements for Effective Data Governance
• Data Governance Components
– Frameworks
– Building Blocks
– Checklists
– Worst Practices
• Data Governance Strategy in Action (Storytelling)
• Take Aways/References/Q&A
!33Copyright 2018 by Data Blueprint Slide #
Tweeting now:
#dataed
Data Governance Strategies
• Strategy
– Term of Recent Usage
– Context: Organizational -> IT -> Data
– Difficult Choices
• Data Governance
– What is it?
– Why is it important?
– Requirements for Effective Data Governance
• Data Governance Components
– Frameworks
– Building Blocks
– Checklists
– Worst Practices
• Data Governance Strategy in Action (Storytelling)
• Take Aways/References/Q&A
!34Copyright 2018 by Data Blueprint Slide #
Tweeting now:
#dataed
22. !35Copyright 2018 by Data Blueprint Slide #
TheFileNamingConventionCommittee'sOutput
7 Data Governance Definitions
• The formal orchestration of people, process, and technology to enable an
organization to leverage data as an enterprise asset. - The MDM Institute
• A convergence of data quality, data management, business process
management, and risk management surrounding the handling of data in an
organization – Wikipedia
• A system of decision rights and accountabilities for information-related
processes, executed according to agreed-upon models which describe who can
take what actions with what information, and when, under what circumstances,
using what methods – Data Governance Institute
• The execution and enforcement of authority over the management of data
assets and the performance of data functions – KiK Consulting
• A quality control discipline for assessing, managing, using, improving,
monitoring, maintaining, and protecting organizational
information – IBM Data Governance Council
• Data governance is the formulation of policy to optimize, secure, and leverage
information as an enterprise asset by aligning the objectives of multiple
functions – Sunil Soares
• The exercise of authority and control over the management of data
assets – DM BoK
!36Copyright 2018 by Data Blueprint Slide #
23. Organizational Data Governance Purpose Statement
• What does data governance
mean to my organization?
– Managing data with guidance
– Getting some individuals
(whose opinions matter)
– To form a body (needs a
formal purpose/authority)
– Who will advocate/evangelize
for (not dictate, enforce, rule)
– Increasing scope and rigor of
– Data-centric development
practices
!37Copyright 2018 by Data Blueprint Slide #
Use Their Language ...
• Getting access to data around here is like that Catherine Zeta
Jones scene where she is having to get thru all those lasers …
!38Copyright 2018 by Data Blueprint Slide #
24. What is the Difference Between DG and DM?
• Data Governance
– Policy level guidance
– Setting general guidelines and
direction
– Example: All information not
marked public should be
considered confidential
• Data Management
– The business function of
planning
for, controlling and delivering
data/information assets
– Example: Delivering data
to solve business challenges
!39Copyright 2018 by Data Blueprint Slide #
What do I include in my Data Governance Program?
• Security and Privacy of Data
• Quality of Data
• Life Cycle Management
• Risk Management
• Standards (Data Design, Models and Tools)
• Content Valuation
• Governance Tool Kits and Case Studies
!40Copyright 2018 by Data Blueprint Slide #
28. one who actively directs the use of
organizational data assets in support
of specific mission objectives
• one who actively directs
!47Copyright 2018 by Data Blueprint Slide #
Steward, Data
!48Copyright 2018 by Data Blueprint Slide #
Managing
Data with
Guidance
What is Data Governance?
29. Ask anyone ...
• Would you want
your sole, non-
depletable, non-
degrading,
durable asset
managed without
guidance?
!49Copyright 2018 by Data Blueprint Slide #
Data Governance Strategies
• Strategy
– Term of Recent Usage
– Context: Organizational -> IT -> Data
– Difficult Choices
• Data Governance
– What is it?
– Why is it important?
– Requirements for Effective Data Governance
• Data Governance Components
– Frameworks
– Building Blocks
– Checklists
– Worst Practices
• Data Governance Strategy in Action (Storytelling)
• Take Aways/References/Q&A
!50Copyright 2018 by Data Blueprint Slide #
Tweeting now:
#dataed
30. Making a Better
Data Governance Sandwich
!51Copyright 2018 by Data Blueprint Slide #
Standard data
Data supply
Data literacy
Making a Better Data Governance Sandwich
!52Copyright 2018 by Data Blueprint Slide #
Data literacy
Standard data
Data supply
31. Making a Better Data Governance Sandwich
!53Copyright 2018 by Data Blueprint Slide #
Standard data
Data supply
Data literacy
Making a Better Data Sandwich
!54Copyright 2018 by Data Blueprint Slide #
Standard data
Data supply
Data literacy
This cannot happen without engineering and architecture!
Quality engineering/architecture work products
do not happen accidentally!
32. !55Copyright 2018 by Data Blueprint Slide #
• Before further construction could proceed
• No IT equivalent
Our barn had to pass a foundation inspection
Data Governance Frameworks
• A system of ideas for
guiding analyses
• A means of organizing
project data
• Priorities for data
decision making
• A means of assessing
progress
– Don’t put up walls until
foundation inspection is
passed
– Put the roof on ASAP
• Make it all dependent
upon continued funding
!56Copyright 2018 by Data Blueprint Slide #
34. KiK Consulting
• A system of ideas for guiding analyses
• A means of organizing project data
• Data integration priorities decision making framework
• A means of assessing progress
!59Copyright 2018 by Data Blueprint Slide #
http://www.kikconsulting.com/
IBM Data Governance Council
• A system of ideas for guiding analyses
• A means of organizing project data
• Data integration priorities decision making framework
• A means of assessing progress
!60Copyright 2018 by Data Blueprint Slide #
http://www-01.ibm.com/software/data/system-z/data-governance/workshops.html
35. Elements of Effective Data Governance
!61Copyright 2018 by Data Blueprint Slide #
See IBM Data Governance Council, http://www-01.ibm.com/software/tivoli/ governance/servicemanagement/ data-governance.html.
Baseline Consulting (sas.com)
!62Copyright 2018 by Data Blueprint Slide #
36. American College Personnel Association
!63Copyright 2018 by Data Blueprint Slide #
Data Governance Checklist
✓ Decision-Making Authority
✓ Standard Policies and
Procedures
✓ Data Inventories
✓ Data Content Management
✓ Data Records Management
✓ Data Quality
✓ Data Access
✓ Data Security and Risk
Management
!64Copyright 2018 by Data Blueprint Slide #
Source: “Data Governance Checklist for Educators” by Angela Guess; http://www.dataversity.net/archives/5198
38. Data Governance Strategies
• Strategy
– Term of Recent Usage
– Context: Organizational -> IT -> Data
– Difficult Choices
• Data Governance
– What is it?
– Why is it important?
– Requirements for Effective Data Governance
• Data Governance Components
– Frameworks
– Building Blocks
– Checklists
– Worst Practices
• Data Governance Strategy in Action (Storytelling)
• Take Aways/References/Q&A
!67Copyright 2018 by Data Blueprint Slide #
Tweeting now:
#dataed
Toyota versus Detroit Engine Mounting (Circa 1994)
• Detroit
– 3 different
bolts
– 3 different
wrenches
– 3 different bolt
inventories
• Toyota
– 1 bolt used
for all three
assemblies
– 1 bolt
inventory
– 1 type of
wrench
!68Copyright 2018 by Data Blueprint Slide #
39. Toyota versus Detroit Engine Mounting (Circa 1994)
• Detroit
– many different
bolts
– many different
wrenches
– many different
bolt inventories
• Toyota
– same bolts
used for all
three
assemblies
– same 1 bolt
inventory
– same 1 type of
wrench
!69Copyright 2018 by Data Blueprint Slide #
IT Project or Application-Centric Development
Original articulation from Doug Bagley @ Walmart
!70Copyright 2018 by Data Blueprint Slide #
Data/
Information
IT
Projects
Strategy
• In support of strategy, organizations
implement IT projects
• Data/information are typically
considered within the scope of IT
projects
• Problems with this approach:
– Ensures data is formed to the
applications and not around the
organizational-wide information
requirements
– Process are narrowly formed around
applications
– Very little data reuse is possible
40. Data-Centric Development
Original articulation from Doug Bagley @ Walmart
!71Copyright 2018 by Data Blueprint Slide #
IT
Projects
Data/
Information
Strategy
• In support of strategy, the organization
develops specific, shared data-based
goals/objectives
• These organizational data goals/
objectives drive the development of
specific IT projects with an eye to
organization-wide usage
• Advantages of this approach:
– Data/information assets are developed from an
organization-wide perspective
– Systems support organizational data needs and
compliment organizational process flows
– Maximum data/information reuse
Q1
Keeping the doors open
(little or no proactive
data management)
Q2
Increasing organizational
efficiencies/effectiveness
Q3
Using data to create
strategic opportunities
Q4
Both
Improve Operations
Innovation
Only 1 is 10 organizations has a board
approved data strategy!
Data Governance Strategy Choices
!72Copyright 2018 by Data Blueprint Slide #
41. • Telemetric data2005-07-17-srm-003.jpg
Why management doesn't need to understand metadata -
Link business objectives to technical capabilities
!73Copyright 2018 by Data Blueprint Slide #
healthcare.gov
• 55 Contractors!
• 6 weeks from launch and
requirements not finalized
• "Anyone who has written a line of
code or built a system from the
ground-up cannot be surprised or
even mildly concerned that
Healthcare.gov did not work out
of the gate,"
Standish Group International Chairman
Jim Johnson said in a recent podcast.
• "The real news would have been
if it actually did work. The very
fact that most of it did work at all
is a success in itself."
!74Copyright 2018 by Data Blueprint Slide #
• "It was pretty obvious from the first look
that the system hadn't been designed to
work right," says Marty Abbott. "Any
single thing that slowed down would slow
everything down."
• Software programmed to
access data using
traditional technologies
• Data components incorporated
"big data technologies"
http://www.slate.com/articles/technology/bitwise/2013/10/
problems_with_healthcare_gov_cronyism_bad_management_and_too_
many_cooks.html
42. Formalizing the
Role of U.S.
Army Data
Governance
!75Copyright 2018 by Data Blueprint Slide #
Suicide Mitigation
!76Copyright 2018 by Data Blueprint Slide #
44. Senior Army Official
• Room full of Colonels
• A very heavy dose of management support
• Advised the group of his opinion on the matter
• Any questions as to future direction
– "They should make an appointment to speak
directly with me!"
• Empower the team
– The conversation turned from "can this be done?" to "how
are we going to accomplish this?"
– Mistakes along the way would be tolerated
– Implement a workable solution in prototype form
!79Copyright 2018 by Data Blueprint Slide #
Communication Patterns
•
!80Copyright 2018 by Data Blueprint Slide #
Source: The Challenge and the Promise: Strengthening the Force, Preventing Suicide
and Saving Lives - The Final Report of the Department of Defense Task Force on the
Prevention of Suicide by Members of the Armed Forces - August 2010
45. Vocabulary is Important-Tank, Tanks, Tankers, Tanked
!81Copyright 2018 by Data Blueprint Slide #
How one inventory item proliferates data throughout the chain
!82Copyright 2018 by Data Blueprint Slide #
555 Subassemblies & subcomponents
17,659 Repair parts or Consumables
System 1:
18,214 Total items
75 Attributes/ item
1,366,050 Total attributes
System 2
47 Total items
15+ Attributes/item
720 Total attributes
System 3
16,594 Total items
73 Attributes/item
1,211,362 Total attributes
System 4
8,535 Total items
16 Attributes/item
136,560 Total attributes
System 5
15,959 Total items
22 Attributes/item
351,098 Total attributes
Total for the five systems show above:
59,350 Items
179 Unique attributes
3,065,790 values
46. Business Implications
• National Stock Number (NSN)
Discrepancies
– If NSNs in LUAF, GABF, and RTLS are
not present in the MHIF, these records
cannot be updated in SASSY
– Additional overhead is created to correct
data before performing the real
maintenance of records
• Serial Number Duplication
– If multiple items are assigned the same
serial number in RTLS, the traceability of
those items is severely impacted
– Approximately $531 million of SAC 3
items have duplicated serial numbers
• On-Hand Quantity Discrepancies
– If the LUAF O/H QTY and number of items serialized in RTLS conflict, there can
be no clear answer as to how many items a unit actually has on-hand
– Approximately $5 billion of equipment does not tie out between the LUAF and
RTLS
!83Copyright 2018 by Data Blueprint Slide #
Barclays Excel Spreadsheet Horror
• Barclays preparing to buy Lehman’s
Brothers assets.
• 179 dodgy Lehman’s contracts were
almost accidentally purchased by
Barclays because of an Excel
spreadsheet reformatting error
• A first-year associate reformatted an
Excel contracts spreadsheet
– Predictably, this work was done long after
normal business hours, just after 11:30
p.m...
• The Lehman/Barclays sale closed on
September 22nd
• the 179 contracts were marked as
“hidden” in Excel, and those entries
became “un-hidden” when when
globally reformatting the document …
• … and the sale closed …
!84Copyright 2018 by Data Blueprint Slide #
47.
CLUMSY typing cost a Japanese bank at
least £128 million and staff their
Christmas bonuses yesterday, after a
trader mistakenly sold 600,000 more
shares than he should have. The trader at
Mizuho Securities, who has not been
named, fell foul of what is known in
financial circles as “fat finger syndrome”
where a dealer types incorrect details into
his computer. He wanted to sell one
share in a new telecoms company called
J Com, for 600,000 yen (about £3,000).
Possibly the Worst Data Governance Example
Mizuho Securities
Mizuho Securities
• Wanted to sell 1 share
for 600,000 yen
• Sold 600,000 shares
for 1 yen
• $347 million loss
• In-house system did
not have limit checking
• Tokyo stock exchange
system did not have
limit checking ...
• … and doesn't allow
order cancellations
!85Copyright 2018 by Data Blueprint Slide #
Data Governance Strategies
• Strategy
– Term of Recent Usage
– Context: Organizational -> IT -> Data
– Difficult Choices
• Data Governance
– What is it?
– Why is it important?
– Requirements for Effective Data Governance
• Data Governance Components
– Frameworks
– Building Blocks
– Checklists
– Worst Practices
• Data Governance Strategy in Action (Storytelling)
• Take Aways/References/Q&A
!86Copyright 2018 by Data Blueprint Slide #
Tweeting now:
#dataed
48. You can accomplish Advanced Data
Practices without becoming
proficient in the Foundational Data
Management Practices however this
will:
• Take longer
• Cost more
• Deliver less
• Present
greater
risk (with thanks to Tom DeMarco)
Data Management Practices Hierarchy
Advanced
Data
Practices
• MDM
• Mining
• Big Data
• Analytics
• Warehousing
• SOA
Foundational Data Management Practices
Data Platform/Architecture
Data Governance Data Quality
Data Operations
Data Management Strategy
Technologies
Capabilities
!87Copyright 2018 by Data Blueprint Slide #
Take Aways
• Need for DG is increasing
– Increase in data volume
– Lack of practice improvement
• DG is a new discipline
– Must conform to constraints
– No one best way
• DG must be driven by a data
strategy complimenting
organizational strategy
• Comparing DG frameworks
can be useful
• DG directs data management
efforts
• The language of DG is
metadata
• Process improvement can
improve DG practices
!88Copyright 2018 by Data Blueprint Slide #
49. !89
IT Business
Data
As Is State of Data
Copyright 2018 by Data Blueprint Slide #
To Be State of Data
!90Copyright 2018 by Data Blueprint Slide #
IT Business
Data
50. !91Copyright 2018 by Data Blueprint Slide #
PETER AIKEN WITH JUANITA BILLINGS
FOREWORD BY JOHN BOTTEGA
MONETIZING
DATA MANAGEMENT
Unlocking the Value in Your Organization’s
Most Important Asset.
References
Websites
• Data Governance Book
Data Governance Book
Compliance Book
!92Copyright 2018 by Data Blueprint Slide #
51. IT Governance Books
!93Copyright 2018 by Data Blueprint Slide #
10124 W. Broad Street, Suite C
Glen Allen, Virginia 23060
804.521.4056
Copyright 2018 by Data Blueprint Slide # !94