SC-Analytics · Services
We define who makes the decision, what information is available, how often the decision happens, what constraints matter and what the cost of a wrong answer looks like. This keeps the technical work tied to business value.
Depending on the problem, the answer may be forecasting, optimisation, machine learning, simulation, statistical modelling, BI or a simple rules-based system. We compare approaches before committing to complexity.
Models are evaluated against operational baselines and business costs, then integrated into a workflow people can actually use. Documentation, monitoring and clear assumptions are part of delivery.
We will assess the data, constraints, expected value and the most proportionate analytical path before proposing a build.
