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by Thomas C. Redman Ph.D.
Getting in Front on Data
FOREWORD By Thomas H. Davenport
ACKNOWLEDGEMENTS
INTRODUCTION
CHAPTER 1: Data Quality: Why, How, Who, and When?
Why?
How and Who?
When?
In Summary
CHAPTER 2: What’s in it for me?
Do I Have a Data Quality Problem?
The Wrong Reaction in the Face of Bad Data
Use the Rule of Ten to Estimate Costs
Identify “Hard-to-Quantify” Costs of Special Importance
Think Longer-Term
So What’s in It for Me?
In Summary
CHAPTER 3: Data Customers Must Speak Up
Recognize That You Are a Data Customer
Communicate Your Needs
Innovate and Encourage Innovation
Actively Manage Both Internal and External Suppliers
Make Your Hidden Data Factories Explicit and Efficient
Build Organizational Capability
In Summary
CHAPTER 4, Part I: Must-Dos for All Data Creators
Recognize You Are a Data Creator and That Your Work Impacts Others
Focus on the Most Important Needs of the Most Important Customers
Measure Quality Against Those Needs, in the Eyes of the Customers
Find and Eliminate Root Causes of Error
Establish Control
Innovate, Innovate, Innovate
In Summary
CHAPTER 4, Part II: Process Management Advances Data Creation
Manage Data Creation as a Process
Clarify Managerial Responsibilities
Extend the Voice of the Customer
Look for Improvement Opportunities on the Interfaces Between Tasks/Steps
Build Organizational Capabilities
Employ Embedded Data Managers
The Fundamental Organization Unit for Data Quality
Special Instructions for Creating Common Data Definitions
In Summary
CHAPTER 5: Provocateurs Disrupt Organizational Momentum
Provocateurs Look to Improve Their Current Work
Provocateurs Dig Deeper
Provocateurs Achieve a Real Result
Provocateurs Are Not Rabble Rousers
Provocateurs Have Courage and Judgment
In Summary
CHAPTER 6: Building a Data Quality Team
Pay Special Attention to Proprietary Data
Focus the Effort
Engage Senior Management
Connect Data Creators and Data Customers
Provide Common Functions Where It Makes Sense
Own the Data Definition Processes
Actively Manage Change
Build Small but Powerful Core Data Quality Teams
In Summary
CHAPTER 7: Essential Roles of Senior Management in Getting to the Next Level
Understand the Business Case
Put the Right People and Structure in Place
Insist that the Organization Get in Front on Data Quality
Engage Visibly
In Summary
CHAPTER 8: Great Data Quality Programs Need Great Tech
Store, Move, and Deliver Data Safely and Securely
Automate Data Translation as Data Moves From System to System
Contribute to the DQ Effort
Don’t Take Overall Responsibility for Data Quality
Use Business Data Definitions in Systems Development
Reduce Data Translation by Simplifying the Data Architecture
Put in Place a Powerful Team to Support Data Quality
In Summary
CHAPTER 9: Data Quality in Practice
Improving Access Bill Quality at AT&T
Data Definitions That Stand the Test of Time at Aera Energy
In Summary
CHAPTER 10: Advancing Data Quality
APPENDIX A: Special Instructions for Decision Makers and Data Scientists
APPENDIX B: Special Instructions for Automated Measurement, Connected Devices, and the Internet of Things
GLOSSARY
INDEX
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