Data Governance

Data Governance

How to Design, Deploy, and Sustain an Effective Data Governance Program

2nd Edition - November 8, 2019

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  • Author: John Ladley
  • Paperback ISBN: 9780128158319
  • eBook ISBN: 9780128158326

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Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program.

Key Features

  • Incorporates industry changes, lessons learned and new approaches
  • Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations
  • Includes new case studies which detail real-world situations
  • Explores all of the capabilities an organization must adopt to become data driven
  • Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional
  • Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities
  • Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy
  • Provides up to 75% brand-new content compared to the first edition


Data analysts, data managers, researchers, and engineers who need to ensure consistent, accurate and reliable data across their company, lab, hospital, etc

Table of Contents

  • Cover image
  • Title page
  • Table of Contents
  • Copyright
  • Dedication
  • Forewords
  • Today’s Organizations are “Unfit for Data”
  • Preface
  • Acknowledgments
  • Chapter 1: Prologue: An executive overview
  • Abstract
  • The situation
  • Chapter 2: Introduction
  • Abstract
  • Introduction
  • Chapter 3: Data literacy and concepts
  • Abstract
  • The importance of concepts
  • Evolution vs revolution
  • Summary
  • Chapter 4: Overview: A day in the life of a data governance program and its capabilities
  • Abstract
  • What does it look like?
  • Development methods
  • Summary
  • Chapter 5: The data governance business case
  • Abstract
  • The business case
  • Objectives of the business case for data governance
  • Components of the business case
  • The process to build the business case
  • Summary
  • Chapter 6: Overview of data governance development and deployment
  • Abstract
  • Types of approaches
  • The data governance delivery framework
  • Process overview
  • Summary
  • Core success factors
  • Chapter 7: Engagement
  • Abstract
  • Overview
  • Initiation
  • Definition
  • Scope
  • Assessment
  • Vision and plan
  • Engagement case study—Rocky Health
  • Rocky Regional Energy Coop case study introduction
  • Engagement case study—Rocky Regional Energy Coop
  • Summary
  • Chapter 8: Strategy
  • Abstract
  • Overview
  • Alignment
  • Organization value
  • Strategic requirements
  • Strategy case study—Rocky Health
  • Strategy case study—Rocky regional electric coop
  • Summary
  • Chapter 9: Architecture and design
  • Abstract
  • Overview
  • Capabilities
  • Operating frameworks
  • Engagement and workflow
  • Architecture and design case study—Rocky Health
  • Architecture and design case study—Rocky regional electric coop
  • Summary
  • Essential questions
  • Chapter 10: Implementation
  • Abstract
  • Overview
  • Roadmap
  • Sustaining plan
  • Metrics
  • Implementation—Rocky Health
  • Implementation—Rocky Regional Electric Coop
  • Summary
  • Chapter 11: Operation and change
  • Abstract
  • Overview
  • Deployment
  • Operation
  • Measure
  • Sustaining activity
  • Operation and changes—Rocky health
  • Operation and changes—Rocky regional electric coop
  • Summary
  • Chapter 12: Final items and summary
  • Abstract
  • Concepts
  • The warning signs and useful tips
  • The value of data governance
  • Data monetization
  • The critical success factors
  • Some additional final thoughts
  • Elevator speech
  • Conclusion
  • Appendix 1: Work areas, activities, and tasks
  • Appendix 2: Change capacity assessment
  • Appendix 3: Data governance charter template
  • Introduction
  • Appendix 4: Data governance orientation and on-going knowledge transfer template
  • Appendix 5: Data governance capabilities and functions
  • Appendix 6: Stakeholder analysis
  • Appendix 7: Leadership alignment assessment
  • Appendix 8: Communications plan
  • Appendix 9: Training plan
  • Appendix 10: Post-roll-out checklist
  • Appendix 11: Sponsor guidelines
  • Sponsor guidelines and expectations
  • Sponsor self-assessment
  • Appendix 12: Leadership coaching
  • Appendix 13: Resistance plan template
  • Appendix 14: Guiding principles to policies alignment
  • Appendix 15: Data governance program start-up plan
  • Appendix 16: Sample data governance metrics
  • Appendix 17: Phase activity task table from first edition
  • Appendix 18: Executive level sample roadmap
  • Index

Product details

  • No. of pages: 350
  • Language: English
  • Copyright: © Academic Press 2019
  • Published: November 8, 2019
  • Imprint: Academic Press
  • Paperback ISBN: 9780128158319
  • eBook ISBN: 9780128158326

About the Author

John Ladley

John Ladley is a business thought leader and recognized authority in all aspects of Enterprise Information Management (EIM) with 35 years’ experience in planning, project management, improving IT organizations and successful implementation of information systems. John has led teams focused on improving a client’s business results through business intelligence, information management and data governance. John is widely published. John frequently writes and speaks on a variety of technology and data topics. His information management experience is balanced between strategic technology planning, project management and practical application of technology to business problems.

Affiliations and Expertise

Principal of IMCue Solutions, Editor of the Data Strategy Journal

Ratings and Reviews

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Latest reviews

(Total rating for all reviews)

  • Filip F. Fri Dec 16 2022

    Great knowledge easy to understand

    Great knowledge easy to understand

  • Rob B. Mon Jun 13 2022

    Good reference guide

    Good reference guide

  • Radwa M. Tue May 24 2022



  • AnandThatai Mon Mar 16 2020

    Comprehensive guide to Data Governance

    This edition, builds on the first edition of the book. An engaging and thorough guide to implementing Data governance.

  • daraghobrien Thu Mar 12 2020

    Another iterative improvement to the body of knowledge

    Ladley has again written a pragmatic and pracical book that distills his extensive knowledge and insights into how organisations actually need to implement Data Governance. He highlights the fundamental people and asset management disciplines that need to be brought to bear along with the information governance methods that need to be applied. And, as ever, the vignettes of good practice prompt thought and reflection. A must have resource for anyone embarking on a data governance journey.