Solutions
Data Intelligence
Reporting that answers a question. Metric definitions everyone agrees on, dashboards built for a decision, and the data plumbing underneath that makes both trustworthy.
Two dashboards, two numbers, one meeting lost.
The common failure is not a lack of reporting. It is that revenue means three things depending on which system you ask, active customer was defined by whoever built the first dashboard, and nobody trusts a figure enough to act on it without checking. Time then goes on reconciliation instead of decisions.
Fixing it is mostly definitional work, not tooling. Once a metric has a written definition, an owner and a single query behind it, the dashboard becomes a by-product. Most teams skip that step because it is less satisfying than choosing a BI vendor.
What you get
- A metric dictionary: every KPI defined in words and in the query that produces it, with an owner against each one
- Dashboards built around the decision they serve, at the cadence it is made — not one screen carrying every number available
- A modelled reporting layer, so a metric change is one edit rather than a hunt through nine dashboards
- Data quality checks that fail loudly: freshness, row counts, and the specific breakages that have already bitten you
- Reconciliation against source systems, including a written explanation of the differences that are legitimate
- Documentation and a walkthrough, so the reporting survives the person who commissioned it
How the work runs
- 01
Agree the definitions
Before any pipeline work. This stage is uncomfortable and short, and it is where the value is: most reporting disputes are definitional, not technical.
- 02
Model the data
A transformation layer between raw sources and reporting, so dashboards read from tested models rather than each inventing their own logic.
- 03
Build for the decision
Each dashboard is designed against a specific recurring decision and the person who makes it. Anything not serving one is cut.
- 04
Instrument the trust
Freshness indicators and quality checks on the surface, so a stale number announces itself instead of being quietly acted upon.
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