A score compresses a lot of information into something a piece of software can act on: approve, flag, rank, alert. The value is in the reasoning behind it and the consistency with which it is applied.
We combine data engineering, business rules and statistical or machine-learning models, and keep the score explainable enough to defend to a customer or an auditor.
What the work involves
- Score definition and scale design
- Blend of deterministic rules and models
- Component breakdown and explanations
- Stability and version control of scores
- Audit logging of every scored request
Ready to scope it?
Tell us about the data, the callers and the answer you need the API to return.