What is breaking today
- Every department reports a different number for the same metric, and meetings become debates.
- Reports arrive late, so decisions are made on instinct rather than data.
- No metric has a written definition — what exactly is an “active customer”?
What we build
- A written metric dictionary: definition, source, calculation and owner for each.
- Consolidating and cleaning data sources, handling gaps and duplication.
- Role-based dashboards: the owner sees something different from the operations lead.
- Deviation alerts instead of waiting for a report review.
- The ability to trace any number back to the records behind it.
What you receive
- An operational dashboard and an executive dashboard, every metric traceable to source.
- A metric dictionary approved by you and by the data owners.
- A documented refresh schedule so you know how old each number is.
- Training for your team on acting on the data, not only browsing it.
Questions we hear often
Our data is messy — should we fix it first?
Do not wait for perfect data. Start with one important metric, clean its source and document its definition, then expand. Waiting to “fix everything” is why most data projects stall.
Why do we need a metric dictionary?
Because most disputes about numbers are disputes about definitions, not data. Once “active customer” has a written meaning, source and calculation, the debate ends and decisions start.
Are dashboards real-time?
It depends on the source and the need. Real-time is expensive and rarely justified for management metrics. We set an appropriate refresh cycle per metric and display it so you know how old each number is.