The success of a BI project is hidden in what is shown on the screen, not in the quality of the visualisation tool that renders it. The wrong KPI combined with the right technology still leads to bad decisions. We summarise five recurring mistakes seen across BI projects in different industries and how to overcome them.
1. Confusing Objectives with Measures
"Improve customer satisfaction" is a goal; "increase NPS by three points each quarter" is a KPI. Business units often mistake the goal for the KPI and end up without a real measurement. The fix: every KPI must have a numeric expression, a time window and a source system attached to it.
2. Producing Too Many KPIs
When an executive screen shows 40 KPIs, the brain focuses on none of them. Harvard Business Review research backs this intuition: five to seven strategic KPIs drive more decisions than forty mid-level ones. The fix: hierarchical KPI pyramids — a strategic five for executives, a tactical fifteen for middle management, and detailed operational KPIs on the floor.
3. The Same KPI Defined Differently Across Units
When sales and marketing use different definitions of "active customer", every meeting starts with an argument about the definition. The fix: a data dictionary with single-owner KPI definitions. This is essentially MDM applied at a small scale.
4. KPIs That Send the Wrong Signal
In a call centre, tracking only "average handle time" pushes agents to cut conversations short without solving the underlying problem. The real KPI has to be evaluated alongside total interactions per customer and first-call resolution rate. The fix: every KPI needs a balancing counterpart.
5. Relying on Lagging KPIs to Decide
The quarterly revenue report is important, but once the quarter has ended, the opportunity to intervene is gone. Operational teams must invest in leading KPIs — pipeline volume, demo requests — that move earlier in time.
