3. Business Rules Capture – Old Approach:
Logical Data Model
• Created by IT– with Business
involvement
• Unrecognizable by the business
• Describes DBMS-non-specific
Tables - not Rules
• Rules and problems are buried
• Shows the “what”, but not the “how”
or “why”
Can you tell how Length Of Stay
is defined, from this model?
Facility
FAC_ID (PK)
Encounter
MRN_ID (PK/FK)
FAC_ID (PK/FK)
FAC_TYPE
FAC_NAME
ADDRESS
.
ADMIT_DT
DISCHG_DT
LEN_STAY
.
Member
MRN_ID (PK)
NAME
DOB
ADDRESS
.
3
4. Business Rules Capture – New Approach:
- Business Model (taxonomy/ontology)
Can you tell how Length Of Stay is
Defined and collaboratively maintained
defined, from this model?
on-line, by Business Analysts
etc.
etc.
Iterative, Sustainable, Understandable,etc.
Medical
Accessible
Condition
Calculated
Length of
Uses the actual language used by the Facility ID
with
Stay
Business – not abbreviations
Calculated
Date of
with
Requires subject-area expertise, not
Discharge
Date of
Admission
data modeling expertise
Medical Record
Number
etc.
Rule problems are visually evident
etc.
Business modules add up to an
etc.
enterprise business ontology
Enables Business change impactThe tools we’ve had, have defined our
analysis
approach – it’s time for new,
Clear vision of Business Model
collaborative, business modeling tools!
underlies all subsequent development
and data delivery
4
6. Business Taxonomy – and Governance linkages to IT Design Components
Belongs to Community
A calculated term
Term
A Term and its constituents
Term
Term
composed
of
calculated
from
Synonym
Term
Term
Term
Term
Term
Term
Key:
•
•
•
•
•
•
•
Entity/
Attribute
TableColumn
ReportField
DQ, etc.
Community – a collection of items corresponding to a project, application or line-of-business, with Stewardship assignments
Calculated from – one Term is calculated from other, Terms
Composed of – a bill of materials, or collection of terms that comprise a larger Concept
Synonym – a Term having a different name but the same business meaning
Dimension – a Term related through reporting usage, but not through meaning. E.g. Geography is a dimension of Sales
Specializes – (and, in reverse, “is broader than”) shows differences in granularity and aggregation between Terms
Correlated To – indicates where a business term is implemented as an IT component
6
7. Semantic Correlation Meta-Model - summary
Community/
Project
Related Term
Business
Term/Metric
ELDM
Attribute
Conceptual
Value Domain
Validation
Conceptual
Link to Reference
Data
Correlate
Deployed
Data Integration
Component
DQ
Component
DI Transform
DQ Rule
Data
Field
Deployed
Value Domain
Table/
View
Report
Field
Schema/
Database
Link to Data Profiling
summary
Report
BI Universe
7
8. Ontology + Traceability + Workflow = Data Governance
Requirements
Definition
BusinessProcess Model
item
BI Object
Web-Based
Correlation &
Workflow UI
ETL
Transformation
Data
Governance
Policy
Workflow
Engine
Business
Semantic
Term
Bridge
Services
Segment Field
Analysis Data
Model Attribute
Cache
Correlation
DB
Services
Interface
Reference Data Code-Set
Physical Data
Model Column
Data-Quality
Rule
Graph Store is a good
technology for
“Correlation DB” –
triples of traceability
from Terms to artifacts
8
10. Graph for Project Management
Problem:
• Project tracking activity is
performed in meetings/e-mail
– without traceability to the
granular requirements or
objects under development
Community of Interested Parties
Unit of Work
Taxonomy
Term
Term
Ref. ID
comprises
Is spec for
Unit of
Work
Proposal
Proposal
Term
Dev Stage 1
E-Mail
Status
Reporting
Dev Stage 2
Dev Stage 3
Project Plan
& Story Backlog
Approach:
• Using Business Terms as the
foundation for Sprint
development, e-mails, status
reporting etc could all be
tracked according to Ref ID of
the Term and related
componentry in development
10
11. Graph for e-Government
Community of Interested Parties
Issue at Hand
An Issue Composition
Issue
Consideration
Proposal
Issue
Proposal
Issue
Issue
News Item
Proposed
Legislation
Related Data
Problem:
• Government by a few representatives
facilitates bribery, central control, constituents
bulldozed by external interests
Approach:
• Collaborative, issue-based, interest-driven
government creates a virtual level playing
field
11
12. Graph for Intelligent Visualization of Sub-Components
•
Visual Relationship Types
• Term “Fits Inside” Term
• Term “Supports” Term
• Term “Interlocks with” Term
•
Conditional Properties:
• Term “has a valency” of…
12
13. Find My Life
Romance
Compatibility
Short Term
Influence
Long Term
Theme
Another
Person
Personal
Astrology
University
Literature
Birth-Date
/Time/ Place
Topic
Person
Problem
Organization
Activity
Organization
14. Challenges
• What is the ontology of relationship types?
• How to get content (crowd-source,
incrementally by subject-area)
• Technical – find people who know this stuff
• Financial – get funding to build this stuff
15. Business-Terms Governed in Multiple Domains
HealthPlan
Colleen
(Contrib. CO)
Care Delivery
Contrib, Hai
(HI)
Membership Joey (Contrib. NCA)
Admin.
Clinical
In-Patient
Bed Stay
Days
Length of Stay
(Finance)
Clinical
Out-Patient
Sub-Portfolio
Approver, Cal
(NCA)
Approver, Pete
(CO)
Fi, Nance
(Approver. NCA)
Portfolio
Contributory, Cary
(NCA)
Encounter
Type
Business Term
Length of Stay
(Clinical)
Length of Stay
(Clinical) NCA
Encounter Type:
• Encounter Type belongs to two Domains – Cary, Hai and Joey can contribute. But Colleen cannot.
• Changes to Encounter Type will appear in the approval queues for Pete and Cal – but not Nance.
Length of Stay:
• Length of Stay (Clinical) is able to coexist with Length of Stay (Finance)
• Length of Stay (Finance) can be contributed to by Joey and Colleen, and Approved by Nance, only
• Length of Stay (Clinical) can be contributed to by Joey and Hai, and approved by Pete and Cal, only
• Length of Stay (Clinical) NCA – is for NCA only – and therefore only Joey can contribute, and Cal can approve.
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