Operational views
Dashboards put the exception, workload or next action in view. Metric definitions sit behind the number.
← All services
SERVICES / Analytics
A dashboard should change a decision.
Make forecasts and dashboards that answer a specific business question.
RECOGNISE THE PROBLEM
You may need this when...
- Teams use different definitions for the same number.
- Reports describe last month but do not guide the next action.
- A forecast hides the factors driving its estimate.
- Decision makers need to compare plausible scenarios.
WHAT THE WORK CAN INCLUDE
A scope shaped around the decision.
Forecasts and risk
Forecasting and risk models connect estimates to the assumptions and factors that shape them.
Decision scenarios
Scenario models compare choices and expose the constraints behind a recommendation.
BEFORE THE BUILD
Start with the Walk.
We ask who uses the number and what they do when it changes. We trace the calculation back to the source and test whether its definition holds across teams.
See the FloData MethodFOR THE TECHNICAL EVALUATOR
Under the hood
- 01Operational records
- 02Defined measures
- 03Dashboard or model
- 04An action someone owns
- Metric definitions, data lineage and validation periods are explicit.
- A model is evaluated against a relevant baseline and its limits are documented.
Illustrative approach. We select the stack after the diagnostic.
RELEVANT WORK
View related workSee the approach in practice.
CASE/02
Where an election is decided, booth by booth
Electoral intelligence for a US campaign and an Indian party organisation. Estimates built from official results, mapped from the seat to the street.
Under the hoodHide the stack
Official results and electoral rolls from public sources · Booth reconciliation across elections · Segment-level turnout and preference model · Bottom-up aggregation with confidence levels · Web maps from region to household · Prediction service with Excel-ready exports · Web dashboard and mobile field app
CASE/03
Life expectancy modelling for life settlements
Medical records became a structured, explainable input to life-settlement valuation.
Under the hoodHide the stack
OCR and document classification · NLP-based medical factor extraction · Standardised medical and lifestyle factor set · Cox Proportional Hazards survival model · Baseline and factor-contribution dashboard · Benchmark comparison against industry and internal methods
CASE/06
Reading a child's movements from a phone video
Smartphone videos of children became a measured movement record, so parents and doctors could discuss what they saw with something objective in front of them.
Under the hoodHide the stack
Pose estimation · Keypoint detection · Movement signal extraction · Trained classifier · Clinician-facing report