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The Data Model as the Cornerstone of Enterprise Architecture: A Case Study RICHARD FREGGI SENIOR SUPPLY CHAIN ARCHITECT HP DMZ AUSTRALIA 2015 1

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Page 1: Data Modeling Enterprise Architecture

The Data Model as the Cornerstone of Enterprise Architecture: A Case Study

RICHARD FREGGI

SENIOR SUPPLY CHAIN ARCHITECT

HP

DMZ AUSTRALIA 2015 1

Page 2: Data Modeling Enterprise Architecture

About this case studyData really is everywhere◦ Not just for database development…◦ But also for business processes, system architecture, solution selection, project management and

stakeholder management

The data modeler has opportunities to take on a role of critical importance◦ The fundamental principles of data modeling still apply…◦ However the ways and means to apply the principles must be tailored to the specific circumstances

This approach is highly effective but not well understood◦ Most stakeholders are used to the traditional “application-centric” approach◦ The value of the data model is becoming apparent but people need to be shown how to use it

I’d like to share and learn◦ Who else has similar experiences and can share insights?

DMZ AUSTRALIA 2015 Page 2

Page 3: Data Modeling Enterprise Architecture

Key points

Traditional architectural approach is “application-driven”. This can create problems:◦ It’s easy to end up where you started (same set of issues, little measurable ROI)

◦ Promotes “stovepipe” systems (increasingly expensive with less flexibility to change)

◦ No objective criteria for decisions: governance for solution selection can be challenging ◦ Mapping business processes to applications is lengthy and very imprecise – therefore not done, or not done well enough

The data modeler can help resolve these problems◦ Match data to processes and requirements

◦ Match data to IT systems (legacy and new systems)

◦ Use the data to match processes and requirements to systems!

◦ See Information Engineering, Rational Unified Process and associated methodologies

It works in real life, provided that we adapt the data modeling approach◦ Choice of Artifacts

◦ Skills and experience in engaging stakeholders

◦ Step out of “database development” comfort zone and get involved with project managers

DMZ AUSTRALIA 2015 Page 3

Page 4: Data Modeling Enterprise Architecture

What do we mean by Enterprise Architecture?Zachman Framework: architecture is “a descriptive representation” of the domain◦ Descriptive = useful to do something important to you◦ Domain = your business

Program codeJohn A. Zachman, Zachman International (810) 231-0531

DATA what

FUNCTIONhow

NETWORK where

PEOPLEwho

TIME when

MOTIVATION why

CONTEXTGeneral

Manager

Things important for the business

Business Functions

List of business locations

Organization structure

Business strategy timeline

List of business priorities

CONCEPTLine

ManagerSemantic data dictionary

Business Process

Business Logistic System

Roles and responsibilities

Business event timeline

Business Plan and Budget

LOGICALArchitect

Project ManagerLogical Data Model

Application Architecture

Distributed System Architecture

Software interface

Processing timing and sequencing

Business Role Model

PHYSICALIT Manager

Database Schema

Software Specification / Configuration

Hardware and network infrastructure

Presentation Architecture

Control structure

System Role Design

OUT OF CONTEXT

Subcontractor

Implementor

Database Definition Language

System components

Access and security system

Timing definition

System Role Configuration

Enterprise Architecture

System Architecture

Solution Architecture

http://en.wikipedia.org/wiki/Zachman_Framework

DMZ AUSTRALIA 2015 Page 4

Page 5: Data Modeling Enterprise Architecture

What do we mean by data model?

A Semantic Data Model◦ Documented in a Semantic Data Dictionary

Business Entity names◦ Information as seen from the user’s point of view - not from technology point of view

Business Entity description◦ Verbose (text)

◦ Optionally: shortlist of attributes to help users recognize how a Business Entity can/cannot be used to perform their processes. Sometimes, Primary and Foreign Keys can help user’s understanding of semantics

Relations◦ Semantic level: the user’s view of where the information comes from

DMZ AUSTRALIA 2015 Page 5

Page 6: Data Modeling Enterprise Architecture

Traditional “application-driven” approach creates problemsIt works but may result in more cost, less flexibility, duplicate effort, longer implementation

Program codeJohn A. Zachman, Zachman International (810) 231-0531

DATA what

FUNCTIONhow

NETWORK where

PEOPLEwho

TIME when

MOTIVATION why

CONTEXTGeneral

Manager

Things important for the business

Business Functions

List of business locations

Organization structure

Business strategy timeline

List of business priorities

CONCEPTLine

ManagerSemantic data dictionary

Business Process

Business Logistic System

Roles and responsibilities

Business event timeline

Business Plan and Budget

LOGICALArchitect

Project ManagerLogical Data Model

Application Architecture

Distributed System Architecture

Software interface

Processing timing and sequencing

Business Role Model

PHYSICALIT Manager

Database Schema

Software Specification / Configuration

Hardware and network infrastructure

Presentation Architecture

Control structure

System Role Design

OUT OF CONTEXT

Subcontractor

Implementor

Database Definition Language

System components

Access and security system

Timing definition

System Role Configuration

http://en.wikipedia.org/wiki/Zachman_Framework

DMZ AUSTRALIA 2015 Page 6

Page 7: Data Modeling Enterprise Architecture

Why is the data model the cornerstone?

Use the data to match processes and requirements to systems!

Program codeJohn A. Zachman, Zachman International (810) 231-0531

DATA what

FUNCTIONhow

NETWORK where

PEOPLEwho

TIME when

MOTIVATION why

CONTEXTGeneral

Manager

Things important for the business

Business Functions

List of business locations

Organization structure

Business strategy timeline

List of business priorities

CONCEPTLine

ManagerSemantic data dictionary

Business Process

Business Logistic System

Roles and responsibilities

Business event timeline

Business Plan and Budget

LOGICALArchitect

Project ManagerLogical Data Model

Application Architecture

Distributed System Architecture

Software interface

Processing timing and sequencing

Business Role Model

PHYSICALIT Manager

Database Schema

Software Specification / Configuration

Hardware and network infrastructure

Presentation Architecture

Control structure

System Role Design

OUT OF CONTEXT

Subcontractor

Implementor

Database Definition Language

System components

Access and security system

Timing definition

System Role Configuration

http://en.wikipedia.org/wiki/Zachman_Framework

DMZ AUSTRALIA 2015 Page 7

Page 8: Data Modeling Enterprise Architecture

Application-driven approach promotes “stovepipe” systems

Many applications to meet many requirements / constraintsMany contradicting processes, requirements and constraints make solution selection very difficultAre we just swapping on set of issues for another?Will the savings justify the costs?

DMZ AUSTRALIA 2015 Page 8

Many projects and solutions

Many organizations, stakeholders

Legacy system limitations

Different business requirements

Differen

t pro

cessesan

d req

uirem

en

ts

Dif

fere

nt

cap

abili

tie

s

Solution A Solution B

Solution C Solution D

Solution E Solution F

Solution G Solution H

Etc. etc.

Page 9: Data Modeling Enterprise Architecture

The data modeler can help resolve these problems

Many projects and solutions

Legacy system limitations

Different business requirements

Solution A

Solution B

Solution C

Data Model

Process Model

System Architect

ure

• Less applications• Lower cost• Faster implementation• Less interfaces =

less latency and better referential integrity

Program codeJohn A. Zachman, Zachman International (810) 231-0531

DATA what

FUNCTIONhow

NETWORK where

PEOPLEwho

TIME when

MOTIVATION why

CONTEXTGeneral

Manager

Things important for the business

Business Functions

List of business locations

Organization structure

Business strategy timeline

List of business priorities

CONCEPTLine

ManagerSemantic data dictionary

Business Process

Business Logistic System

Roles and responsibilities

Business event timeline

Business Plan and Budget

LOGICALArchitect

Project ManagerLogical Data Model

Application Architecture

Distributed System Architecture

Software interface

Processing timing and sequencing

Business Role Model

PHYSICALIT Manager

Database Schema

Software Specification / Configuration

Hardware and network infrastructure

Presentation Architecture

Control structure

System Role Design

OUT OF CONTEXT

Subcontractor

Implementor

Database Definition Language

System components

Access and security system

Timing definition

System Role Configuration

http://en.wikipedia.org/wiki/Zachman_Framework

Many organizations, stakeholders

DMZ AUSTRALIA 2015 Page 9

The data model is the first point of consolidation / rationalizationProcess model and system architecture are based on one and the same data modelMuch easier to justify solutions and make decisions

Page 10: Data Modeling Enterprise Architecture

Validates capacity

Provides Rules for

Caused by problem

Causes revision

Committed thru

Triggered by

Caused by decision

Recorded in

OPERATIONSPLAN

ROUGHCUTCAPAPLAN

EXCEPTION

SERVICEAGREEMENT

PUBLISHEDOPSPLAN

TRANSACTION

TRANSACTIONCOMMIT

COMMITCHANGE

EXCEPTIONREPORT

PRIORITIZEDEXCEPTIONSLIST

AUDITARCHIVE

Match data to processes and user requirements - 1

Engage key stakeholders

Explain that we need to understand WHATwe are talking about before we decide HOWwe are going to do it

Document the result in a Semantic Data Model

The data model accounts for◦ Viewpoints of various stakeholders / organizations

◦ Different requirements and constraints

◦ Legacy solutions, new projects

The data model is by far the best, easiest, fastestway to consolidate these inputs

DMZ AUSTRALIA 2015 Page 10

Page 11: Data Modeling Enterprise Architecture

Match data to processes and user requirements - 2Develop the process model with stakeholders, leveraging the clear understanding of domain and common terminology

DATA MODEL

Validates capacity

Provides Rules for

Caused by problem

Causes revision

Committed thru

Triggered by

Caused by decision

Recorded in

OPERATIONSPLAN

ROUGHCUTCAPAPLAN

EXCEPTION

SERVICEAGREEMENT

PUBLISHEDOPSPLAN

TRANSACTION

TRANSACTIONCOMMIT

COMMITCHANGE

EXCEPTIONREPORT

PRIORITIZEDEXCEPTIONSLIST

AUDITARCHIVE

DMZ AUSTRALIA 2015 Page 11

UML Sequence Diagram provides effective process definitionbased on the data model!!

PROCESS / SOP

: BusinessPartner

: BI Team

: CommitChange

: Exception

: ExceptionReport

: PrioritizedExceptions

List

: OpsManager

1 : Detect()

2

3 : Confirm()

4 : Update()

<<create>>5

<<create>>6 : Update()

7

8

9

Page 12: Data Modeling Enterprise Architecture

Match data to IT systemsDATA MODEL

Validates capacity

Provides Rules for

Caused by problem

Causes revision

Committed thru

Triggered by

Caused by decision

Recorded in

OPERATIONSPLAN

ROUGHCUTCAPAPLAN

EXCEPTION

SERVICEAGREEMENT

PUBLISHEDOPSPLAN

TRANSACTION

TRANSACTIONCOMMIT

COMMITCHANGE

EXCEPTIONREPORT

PRIORITIZEDEXCEPTIONSLIST

AUDITARCHIVE

SYSTEM ARCHITECTURE

Archive Datastore

Audit Archive

residents

Secure File Share

Service Agreement

residents

Workflow Support Tool

Exception Report

Prioritized Exceptions List

residents

Reporting Engine

Commit Change

Exception

Published Ops Plan

Transaction

Transaction Commit

residents

Planning Engine

Rough Cut Capacity Plan

Operations Plan

residents

IF4

IF2

IF3

Decisions, responsibilities, liabilities

Milestones, Events, Exceptions

Plans

IF1

Business Rules

DMZ AUSTRALIA 2015 Page 12

UML Component Diagram provides system architecturebased on the data model!!

Page 13: Data Modeling Enterprise Architecture

Processes and requirements are matched to solutions!Perform a reality check / validation round with stakeholders

: BusinessPartner

: BI Team

: CommitChange

: TransactionException

: ExceptionsReport

: PrioritizedExceptions

: OpsManager

1 : Detect()

2

3 : Confirm()

4 : Update()

<<create>>5

<<create>>6 : Update()

7

8

9

PROCESS / SOP SYSTEM ARCHITECTURE

Archive Datastore

Audit Archive

residents

Secure File Share

Service Agreement

residents

Workflow Support Tool

Exception Report

Prioritized Exceptions List

residents

Reporting Engine

Commit Change

Exception

Published Ops Plan

Transaction

Transaction Commit

residents

Planning Engine

Rough Cut Capacity Plan

Operations Plan

residents

IF4

IF2

IF3

Decisions, responsibilities, liabilities

Milestones, Events, Exceptions

Plans

IF1

Business Rules

DMZ AUSTRALIA 2015 Page 13

Page 14: Data Modeling Enterprise Architecture

UML notation helps us leverage the data model for key artifacts of the Enterprise Architecture

DMZ AUSTRALIA 2015 Page 14

Program codeJohn A. Zachman, Zachman International (810) 231-0531

DATA what

FUNCTIONhow

NETWORK where

PEOPLEwho

TIME when

MOTIVATION why

CONTEXTGeneral

Manager

Things important for the business

Business Functions

List of business locations

Organization structure

Business strategy timeline

List of business priorities

CONCEPTLine

ManagerSemantic data dictionary

Business Process

Business Logistic System

Roles and responsibilities

Business event timeline

Business Plan and Budget

LOGICALArchitect

Project ManagerLogical Data Model

Application Architecture

Distributed System Architecture

Software interface

Processing timing and sequencing

Business Role Model

PHYSICALIT Manager

Database Schema

Software Specification / Configuration

Hardware and network infrastructure

Presentation Architecture

Control structure

System Role Design

OUT OF CONTEXT

Subcontractor

Implementor

Database Definition Language

System components

Access and security system

Timing definition

System Role Configuration

Semantic Model

Use Case DiagramSequence Diagram

ERD

Component Diagram

Dep

loym

ent

Diagram

MS Excel

Page 15: Data Modeling Enterprise Architecture

Role of the data modeler

Develop the data model! But also…

Promote use of the common language from the Semantic Data Model

Facilitate discussion among many stakeholders: internal, business partners, solution vendors

Tight partnership with project managers and sponsors

Knowledge of UML or equivalent notation

Willing and able to ‘get out there’, get involved and make a difference!

DMZ AUSTRALIA 2015 Page 15

Page 16: Data Modeling Enterprise Architecture

Partnership with project managers is critical for success

Artifacts are used for project definition

DMZ AUSTRALIA 2015 Page 16

Architectural Artifact Project Control Document

Data Model Project glossary / definition of termsProject scope definitionProject approach

Use Case DiagramsSequence Diagrams

Project sponsor assignmentProject team rosterStakeholder management planTest plan definitionManagement of change and training plan

Component DiagramDeployment Diagram

Project scope definitionRFP, RFQ, vendor Statement Of Work

Consolidated / rationalized

requirements

Who will do it, How will do it

Hardware, Software, Network changes

Page 17: Data Modeling Enterprise Architecture

Thank you

Who has similar experiences?

Different experiences?

Feedback?

DMZ AUSTRALIA 2015 Page 17