The Data Governance Imperative: A Business Strategy for Corporate DataPaperback
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- Publisher: IT Governance Publishing
- Format: Paperback | 170 pages
- Dimensions: 140mm x 216mm x 9mm | 224g
- Publication date: 30 April 2009
- Publication City/Country: Ely
- ISBN 10: 1849280126
- ISBN 13: 9781849280129
- Edition statement: New ed.
- Illustrations note: black & white illustrations
- Sales rank: 720,011
Attention to corporate information has never been more important than now. The ability to generate accurate business intelligence, accurate financial reports and to understand your business relies on better processes and personal commitment to clean data. Every byte of data that resides inside your company, and some that resides outside its walls, has the potential to make you stronger by giving you the agility, speed and intelligence that none of your competitors yet have. Data governance is the term given to changing the hearts and minds of your company to see the value of such information quality. The Data Governance Imperative is a business person's view of data governance. This practical book covers both strategies and tactics around managing a data governance initiative. The author, Steve Sarsfield, works for a major enterprise software company and is a leading expert in data quality and data governance, focusing on the business perspectives that are important to data champions, front-office employees, and executives. Steve runs an award-winning and world-recognized blog called the Data Governance and Data Quality Insider, offering practical wisdom.
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Steve Sarsfield is a leading expert in data quality and data governance, focusing on the business perspectives that are important to data champions, front office employees and executives. Steve runs an award winning and world recognized Blog called the Data Governance and Data Quality Insider and is a popular public speaker on the topic, having delivered countless presentations at industry conferences and college campuses throughout the United States. He is a member of the organizing committee for the 2009 MIT Information Quality Industry Symposium (IQIS) which facilitates vibrant discussion among practitioners and academicians on how to improve the quality of information. Steve draws practical wisdom and inspiration from his colleagues at Harte-Hanks Trillium Software and its customers as they venture into their own data governance projects.
Table of contents
Chapter 1: The need for Data Governance 20 Sins of the Past 21 Where Are The Metrics? 24 Unnecessary Complexity 26 ETL and Data Warehouse 27 Building More Efficiency 29 Reducing Risk and Improving Compliance 36 The Value of an Acquisition 30 Decisions Based on Gut 33 Data Governance and Being Green 33 Why Data Governance? 36 Who Needs Data Governance? 38 Chapter 2: What is data governance? 40 How do different groups see data governance? 40 Defining Data Governance by its Benefits 45 Chapter 3: Defining Data Governance Success 50 Generic Data Governance Success Factors 50 Specific Data Governance Success 55 Chapter 4: Getting Funded for IQ projects 57 The Data Champion 57 Return on Investment 61 Picking the Right Projects 62 Building Credibility 64 Leveraging a Crisis 64 Conversation Starters 65 The 'Do Nothing' Option 70 Overcoming Objections to Data Governance 71 Chapter 5: People - What does a data governance team look like? 77 Data Governance Roles and Responsibilities 77 Data Governance Council 80 Team Performance Goals 82 Methodologies 83 Chapter 6: Painting the Picture 86 Mission Statement 86 Communication Strategies 87 Having Productive Meetings 88 Getting the Data 93 Data Governance Workshops 94 Building a Useful Data Quality Scorecard 95 Views of Data Quality Scorecard 96 Which Key Metrics Do I Track? 97 chapter 7 - Fixing your data 114 Causes and Actions 114 Information Quality and Data Intensive Projects 121 The Six Phases of a Data Intensive Project 121 Phase One: Project Preparation 122 Phase Two: Making the Blueprint 126 Phase Three: Implement 131 Phase Four: Rollout Preparation 133 Phase Five: Go Live 136 Phase Six: Maintain 139 Chapter 8: technologies that support data governance 141 Types of Data Governance Technologies 142 PREVENTATIVE 142 Diagnostic and Health 145 Infrastructure 149 Enrichment 154 Chapter 9: WHAT'S NEXT 155 ITG Resources 157