Reports your team actually agrees on
Most reporting problems are really definition problems. We fix what each number means first, then build the pipelines and dashboards on top — and every analysis ends with what we think you should do.
- Single agreed definition per metric
- 1 source
- Refresh on core operational dashboards
- Daily
- Analysis ends in a recommendation
- Always
What the team actually does
Metric layer and definitions
A written dictionary — what counts as an active user, when revenue is recognised, how churn is measured. Agreed once, referenced forever.
Pipelines and warehousing
Ingestion from your product database, payment gateway, CRM, ad platforms and helpdesk into one warehouse, with monitored freshness.
Dashboards people open
One executive view, one operational view per team. Every chart has an owner and a decision attached; anything nobody uses gets deleted.
Cohort and retention analysis
Where users come from, how long they stay, what the second-order revenue looks like, and which acquisition channel is quietly unprofitable.
Forecasting and capacity models
Demand, volume and staffing models so hiring and inventory decisions are made against a curve rather than a feeling.
Support and operations analytics
Contact drivers, deflection, handle time and cost-to-serve — the numbers that tell you which product fix removes an entire ticket category.
What is included
- Metric dictionary and definition sign-off
- Warehouse setup and ingestion pipelines
- Executive and per-team dashboards
- Scheduled analyses with written recommendations
- Data quality monitoring and alerting
- Analyst office hours for your team
Channels
- Warehouse
- BI workspace
- Scheduled reporting
- Ad-hoc analysis requests
Tools we work in
- PostgreSQL
- BigQuery
- dbt
- Metabase
- Looker Studio
- Power BI
- Python
- Airflow
Your instance, your data, named accounts. If your stack is not listed, we learn it — the tool is rarely the hard part.
Service-level targets
| Metric | Target |
|---|---|
| Core dashboard freshness | < 24 hours |
| Pipeline uptime | ≥ 99% |
| Metric definition coverage | 100% of exec KPIs |
| Ad-hoc analysis turnaround | ≤ 3 working days |
Targets, not guarantees. Your current performance is measured in week one and the agreed target is written into your contract.
Questions about this service
If yours is not here, email us. A person answers, usually the same day.
We start by deleting. Most BI estates die from breadth: forty charts, no owners, three conflicting definitions of revenue. We agree the definitions, ship one executive view and one view per team, and attach a decision to every chart that survives.
A read replica or a warehouse sync — never write access to production. Where data is sensitive we work against a masked or aggregated layer.
Let's talk about data analytics & bi
Half an hour to walk through the job, then a written scope with volumes, targets and a price. Yours whether or not we work together.