Practitioner''s Guide to Operationalizing Data Governance - Governanc

Discover what does--and doesn't--work when designing and building a data governance program
 
In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on.
 
Ideal for companies trying to resolve a wide variety of issues around data governance, this book:
* Offers a straightforward starting point for companies just beginning to think about data governance
* Provides solutions when company employees and leaders don't--for whatever reason--trust the data the company has
* Suggests proven strategies for getting a data governance program that's gone off the rails back on track
 
Complete with visual examples based in real-world case studies, A Practitioner's Guide to Operationalizing Data Governance will earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions.

List of contents

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

About the author

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.

Summary

Discover what does--and doesn't--work when designing and building a data governance program

In A Practitioner's Guide to Operationalizing Data Governance, veteran SAS and data management expert Mary Anne Hopper walks readers through the planning, design, operationalization, and maintenance of an effective data governance program. She explores the most common challenges organizations face during and after program development and offers sound, hands-on advice to meet tackle those problems head-on.

Ideal for companies trying to resolve a wide variety of issues around data governance, this book:
* Offers a straightforward starting point for companies just beginning to think about data governance
* Provides solutions when company employees and leaders don't--for whatever reason--trust the data the company has
* Suggests proven strategies for getting a data governance program that's gone off the rails back on track

Complete with visual examples based in real-world case studies, A Practitioner's Guide to Operationalizing Data Governance will earn a place in the libraries of information technology executives and managers, data professionals, and project managers seeking a one-stop resource to help them deliver practical data governance solutions.

Product details

• Authors: Hopper, Mary Anne Hopper
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 31.12.2021
• EAN: 9781119851424
• ISBN: 978-1-119-85142-4
• No. of pages: 240
• Series: SAS Institute Inc; Wiley and SAS Business Series
• Subjects: Social sciences, law, business > Business > Management; Unternehmensführung, Corporate Governance, Business & management, data governance, Wirtschaft u. Management