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

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Chapter 1 Business Impacts of Poor Data Quality

Chapter outline

  • 1.1 Information Value and Data Quality Improvement 3
  • 1.2 Business Expectations and Data Quality 4
  • 1.3 Qualifying Impacts 5
  • 1.4 Some Examples 7
  • 1.5 More on Impact Classification 11
  • 1.6 Business Impact Analysis 13
  • 1.7 Additional Impact Categories 14
  • 1.8 Impact Taxonomies and Iterative Refinement 15
  • 1.9 Summary: Translating Impact into Performance 16

Most organizations today depend on the use of data in two general ways. Standard business processes use data for executing transactions, as well as supporting operational activities. Business analysts review data captured as a result of day-to-day operations through reports and analysis engines as a way of identifying new opportunities ...

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