Data Governance
Overview
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Background
Data Governance Defined
Data Governance Maturity Models & Assessments
Data Governance Frameworks
Next Steps
Data Governance Basics to Consider
Reading & Resources
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
Background: Zenith
Hudson
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.
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 decisionmaking (planning, monitoring, and enforcement) over the
management of data assets.” DAMA Dictionary of Data
Management, 2nd Edition
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!
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
Data Governance Maturity Assessment
Maturity Model
Framework
Questions
Maturity
Assessment
Maturity
Assessment
Report
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?
Data Governance Maturity Models: CMM & CMMI
Data Governance Maturity Models: IBM
Data Governance Maturity Models: DataFlux
Data Governance Maturity Models: Kalido
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!
Data Governance Framework
Maturity Assessment
Desired State
Framework
Gap
Analysis
A Tailored Data
Governance
Framework
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?
The Zenith Data Governance Framework
Policy,
Procedures,
Processes
People &
Culture
Data
Information
Lifecycle
Management
Security,
Compliance
& Privacy
Architecture
&
Standards
Metadata,
Master Data
Management
Audit,
Monitoring,
Reporting
Process
Technology
People &
Process
People, Process
& Technology
Supporting
disciplines
Data
Quality
Core disciplines
Training & Communication
Enablers
Information & Data Governance
• 11 Components
Domains
or
• Sub-Components
Categories
or
The DMBOK Functional Framework
• 10 Components
Domains
• Environmental
Elements
or
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
Next Steps: Data Governance Roadmap
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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?
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
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
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)
Data Governance Basics: Stewardship
You need to be…
• Leader
• Respected
• Communicator
• Change Agent
• Consensus Builder
… and have
• Authority
• Organisational Skills
Data Governance Basics: Three Tiered Governance
Data Governance Council
Data Stewardship Committee
SubForum or
Working
Group
SubForum or
Working
Group
SubForum or
Working
Group
SubForum or
Working
Group
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!
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
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)
Quick Self-Assessment Resources
• Mike2.0 (http://mike2.opencommunity.org)
• IBM Info Gov Community (http://www.infogovcommunity.com)
• Kalido (http://www.kalido.com)
QUESTIONS?
http://www.zenithsolutions.com.au
Stuart.brown@zenithsolutions.com.au
0428202129