Data quality
Why do our numbers disagree, and how do we secure them?
Two departments, two numbers, the same question. Data quality is about cleaning, validating and securing, so the conversation returns to the outcome instead of the figures.
What we do here
- Cleaning, validating, securing
- Assigning ownership per definition
- Checks that keep running