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The Practitioner's Guide to Data Quality Improvement by David Loshin

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5 Developing A Business Case and A Data Quality Road Map

Chapter outline

  • 5.1 Return on the Data Quality Investment 68
  • 5.2 Developing the Business Case 69
  • 5.3 Finding the Business Impacts 69
  • 5.4 Researching Costs 72
  • 5.5 Correlating Impacts and Causes 73
  • 5.6 The Impact Matrix 74
  • 5.7 Problems, Issues, Causes 75
  • 5.8 Mapping Impacts to Data Flaws 75
  • 5.9 Estimating the Value Gap 76
  • 5.10 Prioritizing Actions 79
  • 5.11 The Data Quality Road Map 81
  • 5.12 Practical Steps for Developing the Road Map 84
  • 5.13 Accountability, Responsibility, and Management 84
  • 5.14 The Life Cycle of the Data Quality Program 86
  • 5.15 Summary 90

One of the most frequently asked questions about developing a data quality program is “how do we develop a convincing business case ...

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