Practitioner's Guide to Operationalizing Data Governance

Cover
Title Page
Copyright Page
Contents
Acknowledgments
Chapter 1 Introduction
	Intended Audience
	Experience
	Common Challenge Themes
		Metadata
	Access to Data
		Trust in Data
		Data Integration
		Data Ownership
		Reporting/Analytics
		Data Architecture
		Reliance on Individual Knowledge
		Culture
	How Data Governance Can Help
		Metadata
		Access to Data
		Trust in Data
		Data Integration
		Data Ownership
		Reporting/Analytics
		Data Architecture
		Reliance on Individual Knowledge
		Culture
	Chapter 1 - Introduction Summary
		Chapter 2 - Rethinking Data Governance
		Chapter 3 - Data Governance and Data Management
		Chapter 4 - Priorities
		Chapter 5 - Common Starting Points
		Chapter 6 - Data Governance Planning
		Chapter 7 - Organizational Framework
		Chapter 8 - Roles and Responsibilities
		Chapter 9 - Operating Procedures
		Chapter 10 - Communication
		Chapter 11 - Measurement
		Chapter 12 - Roadmap
		Chapter 13 - Policies
		Chapter 14 - Data Governance Maturity
Chapter 2 Rethinking Data Governance
	Results You Can Expect With Common Approaches to Data Governance
		Here Comes Panera
		Voluntelling
		Misaligning Titles and Roles
		Project Delivery
		Tool Deployment
	What Does Work
		Adopting Consistent Definitions
		Disciplined Approach to Program Planning, Design, and Execution
	Rethinking Data Governance Summary
Chapter 3 Data Governance and Data Management
	Results You Can Expect Focusing Purely on Data Governance or Data Management
	SAS Data Management Framework
		Data Governance
		Data Management
		Data Stewardship
		Business Drivers
		Solutions
		Methods
	Aligning Data Governance and Data Management Outcomes
		Data Architecture
		Data Administration
		Data Quality
		Data Security
		Metadata
		Reference and Master Data
		Reporting and Analytics
		Data Life Cycle
	Misaligning Data Governance and Data Management
	Data Governance and Data Management Summary
Chapter 4 Priorities
	Results You Can Expect Using the Most Common Approaches to Prioritization
		The List
		Level
		Volume
		Lunch
		Communication
		Emergency
	A Disciplined Approach to Priorities
		Business Value
		Achievability
	Utilizing the Model
		University – Formal Weighted Model
		Retailer – A Different Approach
	Priorities Summary
Chapter 5 Common Starting Points
	Results You Can Expect With Too Many Entry Points
	Building a Data Portfolio
	Metadata
		Metadata Categories
		Business Metadata
		Technical Metadata
		Operational Metadata
	Data Quality
		Business Definition
		Data Element
		Data Record
		Data Movement
	Data Profiling
	Common Starting Points Summary
Chapter 6 Data Governance Planning
	Results You Can Expect Without Planning
	Defining Objectives
		Our Objectives
	Defining Guiding Principles
	Data Governance Planning Summary
Chapter 7 Organizational Framework
	Results You Can Expect When There Is No Defined Organizational Structure
	Organizational Framework Roles
		Support
		Oversight
		Operations
		Facilitation
	Defining a Framework
		Data Governance Steering Committee
		Program Management
		Data Owner
		Working Group
		Data Stewardship
		Data Management
	Aligning the Model to Existing Structures
		Leadership Team
		Data Manager Team
		Domain Definitions — Student
		Domain Definitions — Business Operations
		Domain Definitions — External
		Data Manager
		Data Steward
		Ad-Hoc Working Group
		Data Governance Management
		Technical Data Operations
	Aligning the Framework to the Culture
		Data Governance Steering Committee
		Data Governance Sub-Committee
		Data Governance Office
		Data Steward
	Simplifying the Model
	Defining the Right Data Stewardship Model
		Data Domain Model
		Application Model
		Project Model
	Organizational Framework Summary
Chapter 8 Roles and Responsibilities
	Results You Can Expect When Roles and Responsibilities Are Not Clearly Defined
	Aligning Actions and Decisions to Program Objectives
		Strategy & Alignment
		Establish Data Governance Program
		Data Governance Operations
		Data Architecture
		Metadata
		Data Quality
		Reference & Master Data
	Using a RACI Model
		Strategy & Alignment
		Establish Data Governance Program
		Data Governance Program Operations
		Data Architecture
		Metadata
		Data Quality
		Reference & Master Data
	Defining Roles and Responsibilities
	Data Governance Steering Committee
	Program Management
	Data Governance Council
	Data Owner Team
	Working Group
	Data Stewardship
	Data Management
	Naming Names
	Roles and Responsibilities Summary
Chapter 9 Operating Procedures
	Results You Can Expect Without Operating Procedures
	Operating Procedures
		Data Governance Steering Committee
		Data Governance Council
		Data Owner
		Data Steward Team
		Working Group
		Program Management Team
		Data Management Team
	A Simplified View of Operating Procedures
	Workflows
		Policy Development
		Data Issue Intake
		Compliance Monitoring
		Prioritization
	Operating Procedures Summary
Chapter 10 Communication
	Results You Can Expect Without Communication
	Communication Plan Components
		Message
		Objective
		Author(s)
		Audience
		Frequency
		Medium
	Sample Communication Plan
	Communication Summary
Chapter 11 Measurement
	Results You Can Expect Without Measurement
	What Measurements to Define
	Program Scorecard – A Starting Point
		Data Governance Participation
		Data Governance Program Milestones
		Policy Compliance
	Program Scorecard Sample
	Measurement Summary
Chapter 12 Roadmap
	Results You Can Expect Without a Roadmap
	First Step in Defining a Roadmap: Implementing Your Framework
	Defining a Roadmap
		Workstreams
		Launch Data Governance
		Data Warehouse Program Management
		Data Architecture
		Metadata
		Data Quality
		Data Management
	Formality First or Save it For Later?
	Critical Success Factors
	Roadmap Summary
Chapter 13 Policies
	Results You Can Expect Without Policies
	Breaking Down a Policy
		Policy
		Procedure
		Standard
		Best Practice
		Data Management
	Contents of a Policy
	Policy Example – Metadata
		Name
		Policy Purpose
		Policy Objectives
		Policy Statement
		Attendant Procedures and Standards
		Metadata Collection Standard Template
		Scope/Affected Area(s)
		Roles and Responsibilities
		Compliance
		Effective Date
		Maintenance and Review
	Policy Example – Data Quality
		Policy Purpose
		Policy Objectives
		Policy Statement
		Procedures
		Standards
		Scope/Affected Area(s)
		Roles and Responsibilities
	Policy Summary
Chapter 14 Data Governance Maturity
	Results You Can Expect With Maturity
	Data Governance Maturity Cycle
		Stage 1 – Define Program
		Stage 2 – Identify Challenges
		Stage 3 – Develop Policy
		Stage 4 – Policy Execution
		Stage 5 – Monitor and Communicate
	Maturing Your Program
	Summary
About the Author
Glossary of Terms
Index
EULA