Data Quality
28 posts filed under Data Quality.
Build, Buy, or Partner? The Question Most Data Teams Answer Wrong
Your engineers want to build it, your CFO wants to buy it - here's the framework that settles it in 30 minutes.
Read →The Migration That Didn't Solve Anything
The most expensive way to avoid fixing your organizational problems: migrate to a new data platform.
Read →CALMS for Data Organizations
The DevOps Handbook has a framework called CALMS. Most data teams only do the A. Here's what they're missing.
Read →The 6 Dimensions of Data Quality
Data quality has 6 dimensions. Most teams only measure 2. Here's what you're missing.
Read →Data Quality Testing Layers
Testing data quality after transformation is like tasting the dish after it's plated. Too late.
Read →The €250K Migration That Didn't Need to Happen
The €250K migration wasn't a technology project. It was an expensive way to avoid hard conversations.
Read →Platform Review: What I Find in Week One
In week one of every platform review, I find the same five problems. Your company probably has at least three.
Read →AI-Ready Means Data-Ready
Your AI strategy won't save you if your data is a mess. Gartner says 80% of digital organizations risk failure without modern data …
Read →The Data Trust Paradox - Why 67% Don't Believe
Data trust is asymmetric. You lose it fast. You earn it slowly.
Read →Why Your AI Project Failed at the Data Layer
Rule of thumb: AI success is 20% model and 80% data infrastructure.
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