Practitioner's Guide to Operationalizing Data Governance

ISBN-13: 9781119851424 / Angielski / Twarda / 2023 / 204 str.

Mary Anne Hopper

Spis treści

Acknowledgments xiiiChapter 1 Introduction 1Intended Audience 2Experience 2Common Challenge Themes 4Chapter 2 Rethinking Data Governance 17Results You Can Expect with Common Approaches to Data Governance 18What Does Work 21Rethinking Data Governance Summary 23Chapter 3 Data Governance and Data Management 25Results You Can Expect Focusing Purely on Data Governance or Data Management 26SAS Data Management Framework 26Aligning Data Governance and Data Management Outcomes 38Misaligning Data Governance and Data Management 43Data Governance and Data Management Summary 45Chapter 4 Priorities 47Results You Can Expect Using the Most Common Approaches to Prioritization 48A Disciplined Approach to Priorities 50Utilizing the Model 55Priorities Summary 64Chapter 5 Common Starting Points 65Results You Can Expect with Too Many Entry Points 66Building a Data Portfolio 66Metadata 67Data Quality 70Data Profiling 75Common Starting Points Summary 76Chapter 6 Data Governance Planning 77Results You Can Expect Without Planning 78Defining Objectives 78Defining Guiding Principles 85Data Governance Planning Summary 88Chapter 7 Organizational Framework 91Results You Can Expect When There Is No Defined Organizational Structure 92Organizational Framework Roles 92Defining a Framework 94Aligning the Model to Existing Structures 97Aligning the Framework to the Culture 100Simplifying the Model 103Defining the Right Data Stewardship Model 104Organizational Framework Summary 109Chapter 8 Roles and Responsibilities 111Results You Can Expect When Roles andResponsibilities Are Not Clearly Defined 112Aligning Actions and Decisions to Program Objectives 112Using a RACI Model 119Defining Roles and Responsibilities 126Data Governance Steering Committee 126Data Management 131Naming Names 131Roles and Responsibilities Summary 135Chapter 9 Operating Procedures 137Results You Can Expect Without Operating Procedures 138Operating Procedures 138Workflows 146Operating Procedures Summary 152Chapter 10 Communication 153Results You Can Expect Without Communication 154Communication Plan Components 154Sample Communication Plan 156Communication Summary 160Chapter 11 Measurement 161Results You Can Expect Without Measurement 162What Measurements to Define 162Program Scorecard - A Starting Point 166Program Scorecard Sample 172Measurement Summary 173Chapter 12 Roadmap 175Results You Can Expect Without a Roadmap 176First Step in Defining a Roadmap:Implementing Your Framework 176Defining a Roadmap 178Formality First or Save It for Later? 184Critical Success Factors 185Roadmap Summary 188Chapter 13 Policies 189Results You Can Expect Without Policies 190Breaking Down a Policy 190Contents of a Policy 192Policy Example - Metadata 193Policy Example - Data Quality 200Policy Summary 204Chapter 14 Data Governance Maturity 207Results You Can Expect With Maturity 208Data Governance Maturity Cycle 209Maturing Your Program 215Summary 216About the Author 217Glossary of Terms 219Index 221

O autorze

Mary Anne Hopper is a Senior Manager at SAS. She oversees the SAS Management and Advisory Consulting practice and has over 20 years' experience helping clients develop and execute strategies in data governance, data management, reporting, and analytics. She is a co-author of the SAS Data Management Framework and the SAS Data Governance Maturity Model.