Most companies think their data quality problem is a data problem. It's not. It's a decision-making problem.
The real cost of bad data
When your CRM is out of date, when customer records are incomplete, when product usage data is unreliable — the cost doesn't show up in a data quality report. It shows up in:
- Sales teams making offers to the wrong customers
- Support teams missing critical context about what a customer has already tried
- Product decisions made on incomplete information
- Resources wasted on customers who already churned
- Missed upsell opportunities because you don't know what customers actually need
Why it's not a technology problem
The instinct is to buy better data infrastructure — a cleaner database, a more robust warehouse, better reporting tools. And sometimes those things help. But the real issue is usually simpler: nobody owns the work of keeping data clean.
The solution
Clean data isn't an outcome of good technology. It's an outcome of good processes and dedicated people doing the work. The companies with reliable data are the ones that have assigned someone (or better, a team) to the task of keeping it that way.