Reusable predictive models, adapted and validated for your customer, demand and risk decisions.
The Predictive Analytics Suite provides reusable model starting points for customer, demand and risk decisions, rather than a standalone licensed product. Data preparation, calibration, validation and integration remain specific to your organisation; assessment establishes which reusable assets fit the decision.
Assess your use case. Share the decision, available data and intended users, not confidential datasets.
Reuse the model family; tailor features, thresholds, evaluation and the route into a decision.
Adapt the suite’s customer model starting points to your customer history and engagement context.
Adapt demand models to your planning horizon, demand drivers and operating constraints.
Adapt detection models to the activity in scope and the team’s investigation rules.
Adapt risk models to the lending population and the credit decision they will support.
Select model versions, supported data formats and evaluation criteria for the use case. A reusable starting point is not a validated model for your organisation.
An engagement pattern with agreed outputs at each gate. Reuse avoids designing every model starting point from scratch; validation is still required.
Agree the decision, owner and action a prediction should support.
Review history, labels, access and data quality before model adaptation.
Calibrate and test against relevant historical outcomes, with limitations recorded.
Connect outputs to a controlled decision workflow and define monitoring ownership.
Customer activity and retention history → a churn probability and segment → a retention team reviews the context → an appropriate action is recorded. This is an engagement example, not a client case study or measured result.
The first milestone is an accepted model output in a defined pilot. Time to business value depends on data readiness, validation, integration and adoption.
Discovery or data engineering comes first when usable history, labels or access are missing.
Predictions inform a decision; they do not remove the need for accountable review.
Choose the pilot boundary before estimating delivery or committing to production use.
Accelerator adoption is scoped separately from software licensing. Agree the [engagement model](/company/our-approach#engagement-models), reuse and handover rights, licence dependencies and ongoing support before delivery.
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