Everyone Says Data-Driven. Nobody Means It.
Your dashboards are lying to you. Here is how to build ones that tell the truth.
I have never walked into a company that said "we make decisions based on gut feelings." Every single one says they are data-driven. Then I look at their data.
Revenue numbers that do not match between three systems. Margin calculations that exclude shipping costs. Customer counts that double-count across channels. Dashboards built on bad data, showing beautiful charts that mean nothing.
The Dashboard Trap
Here is what happens: someone buys a BI tool. They connect it to their database. They build pretty dashboards. Leadership loves it. "Look at all this data!"
Six months later, nobody looks at the dashboards. Why? Because the first time someone made a decision based on the data and it turned out the data was wrong, trust evaporated. And once trust is gone, you are back to gut feelings with extra steps.
Fix the Pipes Before Building the Dashboard
- One source of truth. If your ERP says revenue is \$400K and your eCommerce platform says \$380K and your accounting says \$415K — stop everything and fix that first. No dashboard can save bad underlying data.
- Define your terms. What is "revenue"? Gross? Net? After returns? Before fees? I have seen companies where different departments literally used different definitions of the same word.
- Automate the boring reconciliation. If a human is manually matching transactions between systems, errors are inevitable. Automate it. Then audit the automation.
- Fewer metrics, more conviction. You do not need 50 KPIs. You need 5 that everyone trusts and everyone watches. Margin by channel. CAC by source. LTV by cohort. Cash flow forecast. Inventory turn.
The goal is not more data. It is more trust in less data. Five numbers you would bet your salary on beat fifty that might be right.