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Building A Business Case For Data Quality: Analyze Data And Identify Anomalies

Building A Business Case For Data Quality, 4 of a 7-part series

Now comes the fun part, inspecting the data. For this step, automated data profiling will help you identify actual problems with the data as they relate to business client expectations. Here are just a few possible issues:

  • Are the phone numbers empty?
  • Are the admission dates missing in inpatient hospital claims?
  • Are there car loans with durations greater than 10 years?
  • Do shipping records lack corresponding billing records?
  • Do product descriptions differ only slightly?
  • Are you delivering products to many different customers with the same address?
  • What business rules are being violated? (more…)
Posted in Customers, Data Quality, Pervasive Data Quality | Tagged , , , | 2 Comments