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Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program 2nd edition [Pehme köide]

3.97/5 (119 hinnangut Goodreads-ist)
(Principal of IMCue Solutions, Editor of the Data Strategy Journal, USA)
  • Formaat: Paperback / softback, 350 pages, kõrgus x laius: 235x191 mm, kaal: 660 g
  • Ilmumisaeg: 08-Nov-2019
  • Kirjastus: Academic Press Inc
  • ISBN-10: 012815831X
  • ISBN-13: 9780128158319
Teised raamatud teemal:
Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program 2nd editionSuurem pilt
  • Formaat: Paperback / softback, 350 pages, kõrgus x laius: 235x191 mm, kaal: 660 g
  • Ilmumisaeg: 08-Nov-2019
  • Kirjastus: Academic Press Inc
  • ISBN-10: 012815831X
  • ISBN-13: 9780128158319
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780128158319.html
Märksõnad:
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.

Arvustused

"John Ladleys latest book is the second edition of his Data Governance book, first published in 2012. If you know the first edition of this book, youll certainly appreciate this updated second edition. Reading this book will provide you with a comprehensive overview of why data governance is needed, how to design, initiate, and execute a data governance program, and how to keep the program sustainable.

There is a ton of new content in this second edition, including new case studies, updated industry details, and updated coverage of the available data governance tools that can help.The book will be useful to you whether you are a novice or a seasoned professional. At the heart of this book is the framework that Ladley communicates that you can follow to build and maintain successful data governance at your organization. In combination with the use cases that he walks through in the book, you have a powerful guide for launching your data governance program. Useful for both small and large organizations, be sure to pick up a copy of this book if you are charged with any aspect of data management and data governance within your shop." --Data and Technology Today

Forewords xiii
Preface xvii
Acknowledgments xxi
Chapter 1 Prologue: An executive overview 1(6)
The situation
1(3)
Concepts
4(3)
Chapter 2 Introduction 7(8)
Introduction
7(6)
Essential questions
13(2)
Chapter 3 Data literacy and concepts 15(18)
The importance of concepts
15(14)
Data is an asset
16(1)
Data governance and governance
16(2)
Data management
18(3)
The governance "V"
21(3)
Solutions
24(2)
Other terms
26(2)
Some final core concepts
28(1)
Evolution vs revolution
29(1)
Things will change
30(1)
Summary
30(1)
Essential questions
31(2)
Chapter 4 Overview: A day in the life of a data governance program and its capabilities 33(18)
What does it look like?
33(5)
The scope of data governance and data management
35(1)
Business model
35(2)
Content
37(1)
Development methods
38(10)
Federation
38(2)
Elements of data governance programs
40(4)
Principles
44(1)
Policies
45(1)
Metrics
45(2)
The critical success factors for data governance
47(1)
Summary
48(1)
Essential questions
49(2)
Chapter 5 The data governance business case 51(10)
The business case
52(1)
Objectives of the business case for data governance
53(1)
Components of the business case
54(3)
The big picture (vision)
55(1)
Program risks
55(1)
Business alignment
55(1)
Costs of data quality issues
55(1)
Costs of missed opportunities
56(1)
Data debt
56(1)
Obstacles, impacts, and changes
56(1)
Presentation of the case
56(1)
The process to build the business case
57(2)
Fully understand business direction
57(1)
Identify possible opportunities
57(1)
Identify usage opportunities
57(1)
Define business benefits
57(1)
Confirm business benefits
57(1)
Quantify costs
58(1)
Prepare the business case documentation
58(1)
Approach considerations
58(1)
Summary
59(1)
Essential questions
60(1)
Chapter 6 Overview of data governance development and deployment 61(20)
Types of approaches
63(1)
The data governance delivery framework
64(1)
Process overview
64(15)
Engagement
66(4)
Strategy
70(3)
Architecture and design
73(3)
Implementation
76(2)
Operation and changes
78(1)
Summary
79(1)
Core success factors
80(1)
Essential questions
80(1)
Chapter 7 Engagement 81(34)
Overview
82(2)
Initiation
84(2)
Obtain program approval
84(1)
Develop DG rollout team structure
84(2)
Definition
86(3)
Define DG for your organization
87(1)
Identify business units (subject to DG)
88(1)
Identify business capabilities that need data governance (and don't have it)
89(1)
Scope
89(2)
Define scope and constraints with the initial plan for DG
90(1)
Approve scope and constraints
90(1)
Assessment
91(8)
Information maturity
92(4)
Change capacity
96(1)
Data environment
97(2)
Vision and plan
99(11)
Identify obvious business benefits and metrics
100(2)
Describe new capabilities
102(3)
Draft preliminary DG requirements
105(2)
Develop representations of future DG
107(2)
Complete data governance start-up plan
109(1)
Engagement case study-Rocky Health
110(2)
Rocky Health vision
110(2)
Rocky Regional Energy Coop case study introduction
112(1)
Engagement case study-Rocky Regional Energy Coop
113(1)
Summary
114(1)
Essential questions
114(1)
Chapter 8 Strategy 115(26)
Overview
115(2)
Alignment
117(6)
Identify business needs
117(1)
Align data governance with business needs
118(5)
Organization value
123(9)
Determine core data principles
124(6)
Identify DO-enabled opportunities
130(1)
Develop business value of DG
131(1)
Summary
132(1)
Strategic requirements
132(6)
Review existing business cases
133(1)
Determine base line policy requirements
133(2)
Identify obvious capabilities
135(1)
Identify use cases to show value (as required)
135(3)
Strategy case study-Rocky Health
138(1)
Strategy case study-Rocky regional electric coop
138(1)
Summary
139(1)
Essential questions
140(1)
Chapter 9 Architecture and design 141(46)
Overview
141(3)
Capabilities
144(14)
Identify DG capabilities
144(4)
Align and prioritize capabilities with business needs
148(1)
Identify tools and technology supportive of DM and DG capabilities
148(10)
Operating frameworks
158(16)
Identify/refine DG processes
159(4)
Identify accountability and ownership
163(5)
Design DG operating framework
168(2)
Design minimum sustainable operating model
170(4)
Engagement and workflow
174(8)
Design required engagement models
174(1)
Complete roles and responsibility identifications
175(6)
Socialize operating framework, engagement models, and workflow
181(1)
Architecture and design case study-Rocky Health
182(1)
Architecture and design case study-Rocky regional electric coop
183(2)
Summary
185(1)
Essential questions
185(2)
Chapter 10 Implementation 187(28)
Overview
187(2)
Roadmap
189(6)
Align DG with current efforts
189(1)
Assign DG to planned efforts
190(2)
Define DG deployment increments
192(3)
Develop short- and long-term deployment plans
195(1)
Sustaining plan
195(10)
Define sustaining requirements
196(3)
Define organization behavior targets
199(3)
Develop change management plan
202(3)
Metrics
205(6)
Define metrics for effectiveness
205(4)
Define metrics for efficiency
209(1)
Define metric collection and reporting
210(1)
Implementation-Rocky Health
211(1)
Implementation-Rocky Regional Electric Coop
211(2)
Summary
213(1)
Essential questions
214(1)
Chapter 11 Operation and change 215(18)
Overview
215(2)
Deployment
217(2)
Develop DG roll-out plan
217(1)
Roll-out DG framework
218(1)
Implement operational activity
219(1)
Implement operational support activity
219(1)
Implement DG technology solutions
219(1)
Operation
219(2)
Manage DG interactions with projects
219(1)
Execute DG processes and activities
220(1)
Complete and publish charters, policies, and standards
220(1)
Monitor attendance and engagement
220(1)
Ensure technology is properly integrated into DG operation
220(1)
Interact with data management activities
220(1)
Measure
221(1)
Implement metric collection and reporting processes
221(1)
Track distribution and use of metrics
221(1)
Track use and issues around technology
221(1)
Sustaining activity
221(8)
Verify leader alignment
222(1)
Monitor sponsor effectiveness
223(2)
Monitor communication and training
225(1)
Transition DG to business
225(1)
Manage resistance
225(4)
Operation and changes-Rocky health
229(1)
Operation and changes-Rocky regional electric coop
229(1)
Summary
230(1)
Essential questions
231(2)
Chapter 12 Final items and summary 233(6)
Concepts
235(2)
The warning signs and useful tips
237(1)
The value of data governance
237(1)
Data monetization
238(1)
The critical success factors
238(1)
Some additional final thoughts
238(1)
Elevator speech
239(1)
Conclusion 239(2)
Appendix 1: Work areas, activities, and tasks 241(12)
Appendix 2: Change capacity assessment 253(4)
Appendix 3: Data governance charter template 257(4)
Appendix 4: Data governance orientation and on-going knowledge transfer template 261(2)
Appendix 5: Data governance capabilities and functions 263(12)
Appendix 6: Stakeholder analysis 275(2)
Appendix 7: Leadership alignment assessment 277(2)
Appendix 8: Communications plan 279(4)
Appendix 9: Training plan 283(4)
Appendix 10: Post-roll-out checklist 287(2)
Appendix 11: Sponsor guidelines 289(2)
Appendix 12: Leadership coaching 291(2)
Appendix 13: Resistance plan template 293(2)
Appendix 14: Guiding principles to policies alignment 295(2)
Appendix 15: Data governance program start-up plan 297(2)
Appendix 16: Sample data governance metrics 299(2)
Appendix 17: Phase activity task table from first edition 301(18)
Appendix 18: Executive level sample roadmap 319(2)
Index 321
John Ladley is one of the leading pioneers in the field of Data Governance and Enterprise Information Management. As a consultant, trainer, and author he has over 30 years of coal-face experience dealing with the people and challenges of putting data to work. John has worked with clients across a range of sectors, bringing pragmatic insights to the management and governance of data as an asset and the leadership of data-related organisation transformation. John is also a founder of the Data Leaders Organisation, a collaborative think-tank of industry experts working to promote good practices in data management. Johns books include two editions of Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program and Making Enterprise Information Management (EIM) Work for Business: A Guide to Understanding Information as an Asset. John is a regular keynote speaker at data industry conferences worldwide.