Business intelligence projects often end the same way: dozens of dashboards, hundreds of charts, and a management team that still can't answer "so what do we do now?". More reports rarely make decisions easier — often they make them harder.
The problem isn't the data, it's the question
Most BI projects start with "here is the data we have, what can we show?" That is technically efficient and managerially wasteful. The dashboards it produces are accurate, attractive and unused.
The right starting point is the reverse: which decision are we trying to make better? Once the decision is clear, so is the metric that feeds it — and once the metric is clear, so is the data you need.
What makes a metric useful
Every indicator you put on a dashboard should pass three tests:
- Does it connect to an action? If this number gets worse, is there something concrete someone can do? If not, it is decoration, not information.
- Does it have an owner? Is it clear who is accountable for it? An unowned metric is a metric nobody looks at.
- Does it have a threshold? Is it defined which value is "normal" and which needs intervention? A chart without a threshold is a picture everyone interprets their own way.
Fewer indicators, clearer decisions
A management dashboard with five to nine indicators is almost always better than one with thirty. A crowded dashboard has two side effects: what matters gets lost, and eventually nobody opens it.
A practical approach is to split dashboards by decision-maker. The sales manager's view should not be the same as the CEO's, because they are not making the same decisions.
Data accuracy is not a one-off task
A BI project loses credibility the moment two dashboards answer the same question differently. Once that happens, every subsequent report is met with suspicion.
To prevent it, metric definitions must live in one place, written down and versioned. What does "revenue" mean — including returns? including VAT? by which date? That definition needs settling once, and every report must use it.
From dashboard to action
A well-designed BI solution does not leave the user at the chart. Next to the indicator sits the breakdown that answers "why is this happening", and next to that, the underlying transactions. If a user can get from a number to an event in three clicks, the dashboard is genuinely producing decisions.