Improving data quality root-cause analysis

A great article was posted here on data quality PRO about 8 Simple techniques to improve data
quality root-cause analysis. Definitely worth a read, it lists the following techniques:
  • Focus on problems that impact customer satisfaction
  • Eliminate the short-term practice of data cleansing
  • Ensure information chains are accurate and detailed
  • Include external data sources in your root-cause investigation
  • Use the 5 Why's to discover multiple causes
  • Develop a root-cause analysis process that is commonly adopted across the business
  • Learn how to perform Pareto analysis effectively
  • Learn how to construct a fishbone or ishikawa diagram
  • Validate your root-cause assumptions with further data analysis and investigation
  • Monitor any improvement or preventative measures implemented