From dashboards to decisions
BI tooling has gotten extraordinarily good at showing you what happened. It mostly stalls at the last mile — turning a chart into a decision someone actually makes.
Walk into most companies and you'll find more dashboards than decisions. The data is rich, the charts are clean, and yet the meeting still runs on instinct. The gap between "we can see it" and "we acted on it" is the last mile of business intelligence — and it's where most BI quietly stalls.
Why the last mile is hard
A dashboard answers "what happened." A decision needs "what happened, why, what's likely next, and what should I do." Each step adds friction, and friction is where attention leaks out. By the time a number requires three clicks and a mental model to interpret, it loses to a gut call that takes zero.
Decisions are a design problem
The fix isn't a prettier chart. It's collapsing the distance between signal and action:
- Bring the why next to the what. A metric without its drivers is trivia.
- Reduce what people must attend to. Surface the few things that changed enough to matter, not everything.
- Make uncertainty visible. A decision-maker needs to know not just the number, but how much to trust it.
The metric nobody measures
Decision latency — the time between a signal existing and a decision being made on it. Most teams obsess over data freshness and ignore this entirely. Yet it's the number that actually determines whether your BI investment changed anything.
Dashboards were never the goal. They were a stepping stone we forgot to step off of.