Risk and predictive analysis
Important patterns and emerging risks are difficult to see in complex data.
What DMS does
Where the data and decision warrant it, we use statistical and machine-learning methods to find patterns, test relationships and assess risk in a form teams can explain.
What you receive: Explainable analysis that helps teams understand risk and act earlier.
Capabilities that may support the work
- Dataset validity and integrity analysis with defensible cleaning rules
- Cause-and-effect methods and in-depth statistical analysis
- Predictive modelling, risk assessment and geospatial analysis
How the service is delivered
The exact sequence is agreed with the team, but each engagement begins with the operational need and develops through testable stages.
Stage 1 of 4
Define the decision
Specify the operational question, intended use and limits of the analysis.