Data Quality: The Field Guide
This guide provides the practical guidance needed to start and advance a data quality program.
TABLE OF CONTENTS Data Quality: The Field Guide
List of Figures
Chapter 3: Chief Financial Officers and Managers of Ongoing Operations Need to Know "Where the Money Is"
- Figure 3.1: Typical quality system for customer billing
- Figure 3.2: Desired quality system for billing
- Figure 3.3: A billing chain involves many hand-offs
Chapter 4: Marketers Need to Know About Their Customers
- Figure 4.1: Common definition of customer
Chapter 5: Chief Information Officers are Stuck in the Middle
- Figure 5.1: Data resource data chain
Chapter 10: A Database is Like a Lake
- Figure 10.1: To clean up the lake, one must first eliminate the sources of pollution
Chapter 11: Likely Outcomes
- Figure 11.1: Quality levels: Database clean-up (option 2)
- Figure 11.2: Quality levels: Ongoing operations (option 3)
- Figure 11.3: Quality levels: Prevention (option 4)
- Figure 11.4: Incremental cost of data quality efforts
Chapter 12: The Organic Nature of Data
- Figure 12.1: Rates of new data creation
Chapter 13: Crafting the Approach
- Figure 13.1: Summary of rules for selecting the appropriate approach to data quality
Chapter 14: Data and Data Quality Defined
- Figure 14.1: Four activities impact the quality of data
- Figure 14.2: Data quality defined
Chapter 15: Second-Generation Data Quality Systems
- Figure 15.1: Approaches to data quality
- Figure 15.2: Generic information chain
- Figure 15.3: Second-generation data quality systems are crafted from common elements
- Figure 15.4: Data quality council (common to most successful data quality programs)
- Figure 15.5: Data quality vision
- Figure 15.6: Data quality policy (common to most successful data quality programs)
- Figure 15.7: Business case for data quality
- Figure 15.8: Data supplier...
Copyright Thomas C. Redman 2001 under license agreement with Books24x7
