Data Science & Machine Learning

Models that support a specific decision and are judged by the result. We frame the problem, test whether the data can support it, build the model, and put it into operation with monitoring, so its performance is known and not assumed.

When this is the right service

• Planning relies on last year's figures and individual judgement.
• Unusual events in operations or finance are found too late.
• A model was built once and nobody knows whether it still performs.

What we deliver

• Demand, volume and revenue forecasting
• Customer segmentation and propensity models
• Anomaly and risk detection
• Optimisation of resources, pricing or routing
• Model deployment, monitoring and retraining