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Chapter 1 - Prologue: An executive overview
Pages 1-6 - Book chapterAbstract only
Chapter 2 - Introduction
Pages 7-13 - Book chapterAbstract only
Chapter 3 - Data literacy and concepts
Pages 15-31 - Book chapterAbstract only
Chapter 4 - Overview: A day in the life of a data governance program and its capabilities
Pages 33-49 - Book chapterAbstract only
Chapter 5 - The data governance business case
Pages 51-60 - Book chapterAbstract only
Chapter 6 - Overview of data governance development and deployment
Pages 61-80 - Book chapterAbstract only
Chapter 7 - Engagement
Pages 81-114 - Book chapterAbstract only
Chapter 8 - Strategy
Pages 115-140 - Book chapterAbstract only
Chapter 9 - Architecture and design
Pages 141-185 - Book chapterAbstract only
Chapter 10 - Implementation
Pages 187-214 - Book chapterAbstract only
Chapter 11 - Operation and change
Pages 215-231 - Book chapterAbstract only
Chapter 12 - Final items and summary
Pages 233-240 - Book chapterNo access
Appendix 1 - Work areas, activities, and tasks
Pages 241-252 - Book chapterNo access
Appendix 2 - Change capacity assessment
Pages 253-255 - Book chapterNo access
Appendix 3 - Data governance charter template
Pages 257-259 - Book chapterNo access
Appendix 4 - Data governance orientation and on-going knowledge transfer template
Pages 261-262 - Book chapterNo access
Appendix 5 - Data governance capabilities and functions
Pages 263-274 - Book chapterNo access
Appendix 6 - Stakeholder analysis
Page 275 - Book chapterNo access
Appendix 7 - Leadership alignment assessment
Page 277 - Book chapterNo access
Appendix 8 - Communications plan
Pages 279-281 - Book chapterNo access
Appendix 9 - Training plan
Pages 283-285 - Book chapterNo access
Appendix 10 - Post-roll-out checklist
Page 287 - Book chapterNo access
Appendix 11 - Sponsor guidelines
Pages 289-290 - Book chapterNo access
Appendix 12 - Leadership coaching
Page 291 - Book chapterNo access
Appendix 13 - Resistance plan template
Pages 293-294 - Book chapterNo access
Appendix 14 - Guiding principles to policies alignment
Page 295 - Book chapterNo access
Appendix 15 - Data governance program start-up plan
Page 297 - Book chapterNo access
Appendix 16 - Sample data governance metrics
Pages 299-300 - Book chapterNo access
Appendix 17 - Phase activity task table from first edition
Pages 301-317 - Book chapterNo access
Appendix 18 - Executive level sample roadmap
Page 319 - Book chapterNo access
Index
Pages 321-327
About the book
Description
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.
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
- 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
Details
ISBN
978-0-12-815831-9
Language
English
Published
2019
Copyright
Copyright © 2020 Elsevier Inc. All rights reserved.
Imprint
Academic Press