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The Four Stages of Data Quality: From Hidden Costs to Measurable Value

This is the fundamental problem with data quality. You know it matters. Everyone knows it matters. But until you can quantify the impact, connect it to business outcomes, and build a credible business case, it remains this abstract thing that’s important but never urgent enough to properly fund. I wrote a practical guide to data quality last week that walks through hands-on implementation—the SQL queries, the profiling techniques, the actual mechanics of finding and fixing data issues. Think of that as the “how to use the tools” guide. This article is different. This is the “why these tools matter and how to convince your organization to actually use them” guide.

  • Data Quality
  • ROI
  • Business Case
  • Data Governance
  • Strategy
  • Frameworks
Monday, November 24, 2025 Read
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When Pirates Offered Better Service

The Day Music Changed Forever On June 1, 1999, an eighteen-year-old kid in a Northeastern University dorm room launched something that would bring the music industry to its knees. Shawn Fanning called it Napster, and within two years, 80 million people were using it to download 14,000 songs every minute.1 The technology was simple: a central server indexed which songs each user had, then let computers talk directly to each other. No complicated setup. No technical expertise required. Just type in “Metallica” and boom—there it was.

  • DataGovernance
  • UserExperience
  • ShadowIT
  • DataDemocratization
  • Leadership
  • ServiceDesign
Sunday, November 16, 2025 Read