Walk into almost any leadership meeting and you will find the same paradox: the company has never had more data, more reports or more dashboards, yet the hard decisions still come down to experience, intuition and whoever argues best. The problem is rarely a lack of information. It is that the information was never designed around a decision.
Decision intelligence turns the usual analytics pipeline around. Instead of starting with the data we have and asking what we can show, it starts with the decision we must make and asks what we need to know, how sure we need to be and how fast.
Where analytics effort actually goes
When we map how analytics teams spend their time, a familiar pattern appears. Most hours are absorbed by preparing data and producing recurring reports. A smaller share goes into real analysis, and only a thin slice ends up shaping a decision that would otherwise have been different.
The flow is illustrative, but the shape is what matters. If only one hour in ten changes a decision, adding another dashboard will not fix it. Redesigning the work around decisions will.
Four questions before any dashboard
- Which decision? Name it as a choice between options: raise prices or hold them, open the plant or delay it, renew the contract or tender it.
- Who decides, and when? A decision taken every Monday needs a different product from one taken once a year by the board.
- What would change our mind? List the two or three facts that, if known, would flip the choice. Those are the only numbers worth measuring well.
- What is the cost of being wrong? It tells you how much precision you can afford and how much uncertainty you can live with.
From reports to decision products
A decision product is small, opinionated and owned. It shows the few drivers that matter, the options on the table and the expected outcome of each, including the uncertainty. It is reviewed against what actually happened, so the organisation learns which assumptions were right.
- Drivers, not totals: show what moves the result (price, volume, mix, cost), not only the result.
- Options side by side: every view ends in a comparison of choices, not a pile of charts.
- Ranges, not points: a forecast without its uncertainty invites false confidence.
- A decision log: record what was decided, why, and what happened next.
How to start in 90 days
Choose three recurring, high-value decisions, for example monthly pricing, weekly replenishment and quarterly capital allocation. For each one, write the four answers above, build the smallest decision product that supports it and set a date to compare the decision with its outcome. Retire the reports nobody uses to free the hours. The goal is not more analytics; it is better decisions, made faster, with fewer surprises.
Bartor S.
Founder
