Post on 17-Dec-2015
Data Governance
• Background• Data Governance Defined• Data Governance Maturity Models & Assessments• Data Governance Frameworks• Next Steps• Data Governance Basics to Consider• Reading & Resources
Overview
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
Background: Zenith
Hudson
• 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.
Background: Stuart Brown
• “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
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: Defined
• 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
Data Governance Maturity Assessment
Maturity Assessment
Maturity Model
Framework
Questions
Maturity
Assessment
Report
• Is there something similar in use throughout your organisation?
• Can you leverage from a vendor?
• Are there other options that suit your needs?
Decide on a Maturity Model
Data Governance Maturity Models: CMM & CMMI
Data Governance Maturity Models: IBM
Data Governance Maturity Models: DataFlux
Data Governance Maturity Models: Kalido
• 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: What is it?
Data Governance Framework
Gap Analysis
Maturity Assessment
Desired State
Framework
A Tailored Data
Governance
Framework
• 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?
Data Governance Framework: The Burning Questions
The Zenith Data Governance Framework
• 11 Components or Domains
• Sub-Components or Categories
Core disciplinesSupporting disciplines
Enablers
Information & Data Governance
People & Culture
Policy, Procedures, Processes
Data
Training & Communication
Data Quality
Information Lifecycle
Management
Security, Compliance& Privacy
Architecture &
Standards
Metadata, Master Data Management
Audit, Monitoring, Reporting
Process Technology
People & Process
People, Process & Technology
The DMBOK Functional Framework
• 10 Components or Domains
• Environmental Elements
• 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
Data Governance Framework: Implementation Approaches
• 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?
Next Steps: Data Governance Roadmap
• “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: Stewardship
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
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
• 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)
Recommended Reading
• Mike2.0 (http://mike2.opencommunity.org)
• IBM Info Gov Community (http://www.infogovcommunity.com)
• Kalido (http://www.kalido.com)
Quick Self-Assessment Resources
QUESTIONS?http://www.zenithsolutions.com.au
Stuart.brown@zenithsolutions.com.au0428202129