A
Dashboards
Decision-support dashboards built around actual decisions — not vanity metrics. Anchored in metric definitions you can audit.
- Decision-mapping workshop
- Metric specification & lineage
- Production dashboard + handover
◉SERVICES · 02
Data analysis
Dashboards, predictive and causal models, and reporting infrastructure — built to be inspected, not just admired.
§ 01
Three offerings
Each can be delivered standalone or as part of a broader engagement.
B
Predictive models
Forecasting, scoring, and classification models — with calibration, uncertainty bounds, and a deployment path you can maintain.
- Time-series & supervised ML
- Causal where causal matters
- Model cards + monitoring plan
C
Reporting
Periodic analysis pipelines and reporting infrastructure that produce defensible numbers on a schedule.
- Reproducible reporting pipelines
- Methodology & assumption logs
- Editor-grade narrative
§ 02
Standards we ship to
If a deliverable doesn’t meet these, it doesn’t ship.
Reproducible
Re-runnable end-to-end. A second analyst can rebuild any number we publish.
Documented
Method, assumptions, and limits travel with every figure.
Calibrated
Predictions ship with uncertainty. We don’t publish point estimates as if they were facts.
Inspectable
Source, transformation, and model — all auditable, all the way down.
A number that doesn’t feel right?
We start most audits by reproducing three or four numbers from first principles.