Enterprise Data Architecture Deliverables

An Enterprise Data Architects thoughts on…

Data Architecture Deliverables
for Software Development Orgs
…for proper risk management

Lars E Martinsson
www.linkedin.com/in/larsmartinsson
Content and opinions in this material are those of the author. Opinions may not represent those of any prior, current or future employer

Content
• Presentation Goal
• Data Architecture Influencers (Roles)
• Data Architecture at 100 000 feet (Disciplines)
• Data Architecture at 10 000 feet (Domains)
• Data Architecture at Ground Level (Deliverables)
• More information (Why, How, Templates)

Presentation Goal
• This presentation lists over 200 data architecture
related deliverables
– Based on decades of work building large scale software
– Consider to complete stated deliverables if you are in
business of developing enterprise class-or-size software
– If a deliverable is skipped the tentative risk and cost should
be discussed with relevant stakeholders
• The goal is to remind Enterprise Data Architects
– What deliverables should be created, and for each state
– What role the architect plays (delivers, approves, consumes)

Data Architecture Influencers (Roles)
Message: Managing The Data Architecture is a collaborative effort
“Mainly Defines and Governs” “Mainly Requests and Implements”
General Manager Customer Council Bleeding Edge Customer
Chief Technology Officer Product Portfolio Manager

Architecture Review Board Product Steering Committee Product Manager

Enterprise Applications Architect Product Architect Product Analyst

Enterprise Data Architect Product Data Modeler Warehouse Architect

Data Privacy Officer Product Data Librarian Science Data Architect

Enterprise Software Architect IT Architect Database Administrator

Auditor Enterprise Security Architect IT Security Architect

Vendor Enterprise Business Architect Development Manager

Data Architecture at 100 000 Feet (Disciplines)
1. Data Asset Discovery
2. Data Strategy
3. Data Governance
4. Data Modeling
5. Data Access
6. Data Content Management
7. Data Analysis
8. Data Life Cycle Management
9. Data Management Practice

Data Architecture at 10 000 feet (Domains)
1. Data Asset Discovery 6. Data Content Management
– Enterprise Modeling – Reference Data
– Functional Modeling – Master Data
– Data Store Inventory – Documents
2. Data Strategy
7. Data Analysis
– Roadmap
– Technology – Meta Data
3. Data Governance – Data Warehouse
– Policies, Processes, QA – Business Intelligence
– Standards – Analytics Modeling
– Reviews 8. Data Life Cycle Management
4. Data Modeling – Packaging
– Enterprise Data Modeling – Deployment
– Information Architecture Modeling
– Operation
– Information Analysis Modeling
– Physical Data Modeling 9. Data Management Practice
5. Data Access – Project Sponsorship
– Data Security Standard – Professional Development
– Product Security – Collaboration and Evangelism

Discipline 1: Data Asset Discovery

• This discipline provides info that is crucial to define and ongoing refine the Data Architecture
• Priority from a Data Architecture perspective. Full Role Names can be found on the role slide

Discipline 2: Data Strategy

• The Enterprise Data Architect is heavily involved in defining roadmap, setting scope
and follow-up on implementations as well as compile lists of data technologies used
• Coordinating data related tool use cross the Enterprise may yield significant synergies
• Consider these items even if you want to be “lightweight” on governance (next slide)

Discipline 3: Data Governance

• Many other important Design Patterns exist – those mentioned only representative

Discipline 4: Data Model Management

Discipline 6: Data Content Management

Discipline 8: Data Life Cycle Management

Discipline 9: Data Management Practice

Proposed Next Step

This presentation listed over 200 deliverables an
Enterprise Data Architect should evangelize and is a
light introduction to “frame the scope” to anyone
thinking about Enterprise Data Architecture
To successfully execute on each deliverable more
information must be created (e.g. deliverable
descriptions, why/benefits, contributing roles,
exit/measure criteria, ready-to-use templates etc.)

Feedback? Contact me through LinkedIn www.linkedin.com/in/larsmartinsson

Enterprise Data Architecture Deliverables

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