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