You may have invested in Power BI and Fabric. The dashboards are ready. Reports are run on a scheduled basis. The team is happy. But management isn’t making decisions any differently than before. Why?
The technology is fine. Behaviour isn’t.
This is the most common hidden pitfall in Business Intelligence projects. The reporting system works flawlessly from a technical point of view, but decision-making does not change because:
- The reports are structured according to what the IT department is capable of doing, rather than what management needs
- The figures are technically correct, but their meaning is unclear without context
- The dashboard displays a lot of data, but it doesn’t tell you what to do
- No one is responsible for the way the reports are used
A good report doesn’t just show what happened. It tells you what to do next.
A gauge that doesn’t work is just for show
If customer satisfaction falls month after month and the report shows this, but nobody reacts, the report is of no value. It is data without impact.
Business Intelligence starts with proper planning: what decisions are made based on this information? Who makes the decisions? Over what timeframe? What is the acceptable response time when an indicator exceeds the threshold?
These are business issues, not technical ones. And they need to be addressed before any visualisations are created.
How do we do it differently?
In DB Pro Services’ BI service, we always start by considering what sort of decisions the reports are designed to support. What will a manager do differently after seeing this report? If the answer is ‘nothing at all’, there is no point in creating the report.
Technical quality is important, but it is a means to an end, not the end result itself. The end result is decisions that are made better, faster and on a more data-driven basis.
