What does business intelligence consulting include?
Identifying the decisions each leader actually makes, defining the metrics those decisions need, consolidating report sprawl onto shared definitions, and delivering dashboards on a governed data foundation — with ownership and refresh guarantees, so the numbers stay trusted after launch.
We already have hundreds of reports. Why don't we have answers?
Report sprawl is a symptom of missing governance: every team built its own version on its own extract with its own definitions. More reports made trust worse, not better. The fix is fewer, decision-driven dashboards on shared definitions — and retiring the rest deliberately.
Do we need a data platform before doing BI?
You need governed data for the domains you report on — which can be built domain by domain, with BI delivered on each as it lands. Dashboards on ungoverned extracts look fine in a demo and lose executive trust the first time two of them disagree.
Which BI tools do you work with?
We're deepest in the Microsoft stack, including Power BI — but the tool is the last decision, not the first. Definitions, ownership, and the data foundation determine whether any BI tool produces trust.
How do we measure whether technology spend is paying off?
By instrumenting a small set of executive numbers — run cost by business capability, delivery lead time, priced risk exposure, debt trend, and re-measured benefits. That instrumentation is BI's highest-value use case, and it's how our Optimize stage proves value.