Model the data before drawing it
Conflicting dashboards are a modelling problem. We define metrics once, in version-controlled and tested transformations, then build every view on top of those definitions.
- Ingestion from operational databases, SaaS APIs and event streams
- Version-controlled transformations with data tests on every model
- A single metric layer with documented definitions
- Freshness and volume alerting on critical tables
Prediction where it earns its place
Forecasting, churn scoring, anomaly detection and segmentation — with honest backtests, confidence intervals, and a stated baseline the model has to beat.
What you get
- Warehouse schema and tested transformation repository
- Dashboards for the questions your team actually asks
- Predictive models with backtest reports
- Data quality alerting
How the engagement runs
3–5 weeks to a first modelled domain and dashboard set.