0. Data Governance

1. Overview Background Data Governance Defined
Data Governance Maturity Models & Assessments
Data Governance Frameworks
Next Steps
Data Governance Basics to Consider
Reading & Resources

2. Background: Zenith
Zenith Provide strategy and implementation services in specialty information management disciplines where the client is exposed to significant implementation risk.
Data Governance
Data Quality
Data Migration
Data Warehousing & Business Intelligence
Metadata Management
Master Data Management

3. Background: Zenith
Hudson

4. Background: Stuart Brown
Certified Information Management Professional – Data Governance
Data Governance specialist at Zenith Solutions
Award winning data quality and data governance initiatives (ACT Health - IAIDQ APAC Data Quality Award, 2012)
Consulted across industries including Private Health Insurance, Public Healthcare, Defence, and Government.

5. Data Governance: Defined
“The coordination of people, processes, and technology in order to manage and optimise the use of data as a valued enterprise asset”
“The exercise of authority, control, and shared decision-making (planning, monitoring, and enforcement) over the management of data assets.” DAMA Dictionary of Data Management, 2nd Edition

6. Data Governance: Defined
Bridging business and IT for data related decisions and initiatives
Largely driven by audit and compliance in the US financial sector
Communication, change management, and soft skills are the core of good data governance
Technology helps, but not essential (at lower maturity levels)
Every organisation has some form of data governance!

7. Data Governance Maturity Assessment
Open discussion with stakeholders at all levels
One on one interviews, group workshops, consulting SMEs
Pre-determined questions to be answered and maturity level determined
Identify current state maturity and a desired state
Ensure it is an educational process
The success of your data governance initiative can be highly dependant on a Maturity Assessment!
The biggest part of the process: CONSULTING

8. Data Governance Maturity Assessment
Step 1 – Identify and prepare for interviews & workshops
Step 2 – Conduct on-site workshop and interviews with key stakeholders in business & IT
Step 3 – Conduct Maturity Assessment
Step 4 – Assimilate findings, analyse and prioritise gaps & develop roadmap
Step 5 – Present final Maturity Assessment & Roadmap to key stakeholders

9. Data Governance Maturity Assessment
Maturity Model
Framework
Questions
Maturity Assessment Report

10. Decide on a Maturity Model
Is there something similar in use throughout your organisation?
Can you leverage from a vendor?
Are there other options that suit your needs?

11. Data Governance Maturity Models: CMM & CMMI

12. Data Governance Maturity Models: IBM

13. Data Governance Maturity Models: DataFlux

14. Data Governance Maturity Models: Kalido

15. Data Governance Framework: What is it?
The rules of engagement with data management in your organisation
Roles and Responsibilities, Decision Rights, Accountability, Data Governance Organisation and Stewardship program
Requires a comprehensive maturity assessment
Built to desired maturity level
Must be digestible and suited for your organisation!

16. Data Governance Framework
Gap Analysis
Maturity Assessment
Desired State
Framework
A Tailored Data Governance Framework

17. Data Governance Framework: The Burning Questions
What is the scope of your program or initiative?
What data will be governed?
How will you approach Stewardship?
What are your business drivers and benefits?
How will you measure success or progress?
Who is your Data Governance Organisation?

18. The Zenith Data Governance Framework
Information & Data Governance
Enablers
11 Components or Domains
Sub-Components or Categories
People & Culture
Policy, Procedures, Processes
Data
Training & Communication
Core disciplines
Data Quality
Information Lifecycle Management
Security, Compliance & Privacy 
Supporting disciplines
Architecture & Standards
Metadata, Master Data Management
Audit, Monitoring, Reporting
Process
Technology
People & Process
People, Process & Technology

19. The DMBOK Functional Framework
10 Components or Domains
Environmental Elements

20. Data Governance Framework: Implementation Approaches
Comprehensive
Complete roll out, boiling the ocean, less rework
Partial
Focused on one capability, covers pain points, some rework if later it moves to a ‘comprehensive model’
Blended
Focus on immediate needs and work towards strategic goals
Some rework, less than partial

21. Next Steps: Data Governance Roadmap
What will be the implementation approach?
Where do you need to reach?
What activities will get you there?
What projects will be dependant on each other?

22. Data Governance Basics: Stewardship
“The formal, specifically assigned, and entrusted accountability for business (non-technical) responsibilities ensuring effective control and use of information resources” DAMA Dictionary of Data Management, 2nd Edition

23. Data Governance Basics: Stewardship
“A business leader and/or subject matter expert designed as accountable for:
The identification of operational and Business Intelligence data requirements within an assigned subject area;
The quality of data names, business definitions, data integrity rules and domain values within an assigned subject area;
Compliance with regulatory requirements and conformance to internal data policies and data standards;
Application of appropriate security controls;
Analysing and improving data quality; and
Identifying and resolving data related issues.
Data Stewards are often categorised as executive data stewards, business data stewards, or coordinating data stewards” DAMA Dictionary of Data Management, 2nd Edition

24. Data Governance Basics: Stewardship
Generally speaking, there are 4 types of Stewardship
By Data Object or Domain (Customer, Employee, MDM);
By Business Unit (HR, Finance, etc.);
By Process (New Customer); or
By Project/System.
Generally speaking, there are 3 levels of Data Stewards
Executive Data Steward (Business Owners or Data Owners)
Coordinating Data Steward (Middle Management)
Business Data Steward (SMEs)

25. Data Governance Basics: Stewardship
You need to be…
Leader
Respected
Communicator
Change Agent
Consensus Builder
… and have
Authority
Organisational Skills

26. Data Governance Basics: Three Tiered Governance
Data Governance Council
Data Stewardship Committee
Sub-Forum or Working Group
Sub-Forum or Working Group
Sub-Forum or Working Group
Sub-Forum or Working Group

27. Data Governance Basics: Three Tiered Data Governance
Data Governance Council
“C” Level or Executive level (DAMA – Exec Stewards), Resourcing and Mandate
Strategic level governance!
Data Stewardship Committee
Management/Middle-Management (DAMA – Coordinating Stewards)
Integrate the work of Data Stewards, or Data Stewardship teams;
Tactical level governance!
Sub-Forums, Stewardship Teams, Competency Centre, Centres of Excellence. Working Groups
SME-level DAMA – Business Stewards
Focused on a framework component(s) or topical area(s) i.e. what type of Stewardship program is there?
Operational level governance!

28. Summary You already have some form of data governance
Maturity Assessments are a corner stone to building your data governance strategy and approach
Form follows function and solution follows strategy
Work for the greater good, cater to your organisations needs and pain points
Find your champions and follow the path of least resistance

29. Recommended Reading
The DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) (by DAMA International)
IBM Data Governance Unified Process (by Sunil Soares)
The Data Governance Imperative (by Steve Sarsfield)
The Data Asset: How Smart Companies Govern Their Data for Business Success (by Tony Fisher)
Selling Information Governance to the Business: Best Practices by Industry and Job Function (by Sunil Soares)

30. Quick Self-Assessment Resources
Mike2.0 (
IBM Info Gov Community (
Kalido (

31. QUESTIONS?