Teams reach for tooling when data quality slips. But bad data is almost always a symptom of unclear ownership and absent definitions, not missing software.
The organisations that win define what 'correct' means for each critical field, assign an owner, and measure drift. The tool then enforces a standard that already exists — instead of inventing one.
We start every data engagement here: definitions and ownership first, instrumentation second.