Why Silent Distortion Exists
Companies spend millions on data governance every year. When it comes time to prove the investment is paying off, most teams reach for generic industry benchmarks — Gartner stats, analyst estimates, rules of thumb. That's not proof. It's a guess wearing a suit.
Silent Distortion was built to answer a straightforward question: what is poor data quality actually costing your company? Not an industry. Not a peer group. Your company, measured against your outcomes.
How We Think About the Problem
Most companies say they're data-driven. But the data is complex — thousands of fields across dozens of systems — and understanding how it all connects to business results is a problem most teams aren't equipped to solve.
We approach it from the other direction. Instead of trying to catalog every flaw in every data source, we start with the output variables — the business outcomes that hit your bottom line. Then we measure how input data quality issues impact those outcomes. That tells you exactly where poor data is costing you money, and which fixes will deliver the biggest return.