Most companies do not have a data quality problem. They have a data trust problem. The numbers are there. Nobody believes them.
I have walked into meetings where the marketing team presents one revenue number, sales presents a different one, and finance presents a third. Everyone has data. Nobody agrees. The meeting ends with no decision because nobody trusts their own numbers enough to act on them.
This is more expensive than most people realize. When data is not trusted, decisions get made by hierarchy instead of evidence. The highest-paid person in the room wins the argument. That is expensive — not just in the decision itself, but in the slow erosion of any analytical culture the company might have had.
Where bad data comes from
Bad data rarely comes from broken tools. It comes from broken agreements. The tracking was set up once, two years ago, by someone who has since left. The definition of a “lead” has drifted. Marketing counts anyone who fills out a form. Sales counts only the ones they have contacted. Nobody reconciled this. Both sides report to different executives. Both sides think the other side is wrong.
The second source of bad data is accumulation. Tags get added for campaigns that no longer run. Custom events pile up. Nobody audits because auditing is tedious and there is always something more urgent. After eighteen months, the measurement layer is a graveyard of abandoned tracking, and nobody knows which signals are still meaningful.
The cost is not the wrong number
The cost is not that the number is wrong. The cost is that when the number is wrong, the team learns that numbers cannot be trusted. Next time, they rely on gut feeling. Gut feeling scales with seniority, not with accuracy. That is how companies slowly stop being data-informed and become data-decorated.
Data-decorated means the slide deck has charts. Data-informed means the decision would have been different without the chart. Most companies are data-decorated. They have dashboards everywhere and still argue about what happened last quarter.
What I look for first
When I start with a new client, the first thing I do is not rebuild their tracking. I ask three questions. What is the one number that, if it were wrong, would change your biggest decision? Who is responsible for keeping that number accurate? When was the last time anyone verified it against a source of truth?
The answers are usually uncomfortable. The number is “revenue attribution by channel.” The responsible person is “the marketing team, I think.” The last verification was “never.”
That is the starting point. Not a new dashboard. Not a new tool. Just one number, one owner, and one verification. Build from there.
Trust is built one verified number at a time. Not one dashboard at a time.