Decision process assessment
Analysis of the problem, rules, existing models, available data and operational constraints.
Services
Technical and scientific consulting, modelling and proprietary technology for complex decisions. We scope each project around real objectives, data and constraints.
Services
We work with teams from problem analysis to system implementation, combining specialist expertise with reusable technology components.
Analysis of the problem, rules, existing models, available data and operational constraints.
Design and formalization of decision, mathematical and computational models.
Verification of dependencies, assumptions and output consistency against reference cases.
Scenario comparison, stress testing, sensitivity analysis and uncertainty assessment.
Search for alternatives against single or multiple objectives, constraints and uncertainty.
Turning models into governed, verifiable workflows integrated into business processes.
Prototyping and experimental development of models, algorithms and decision architectures.
Connecting Excel, Python, APIs, enterprise systems and different execution environments.
Our method
Activities form a reviewable project. For each phase, we agree the available inputs, the output to assess and acceptance criteria.
The decision, responsibilities, available sources and constraints. Define how the outcome will be assessed.
Formalized rules, dependencies and assumptions; comparison with reference results and analysis of relevant scenarios.
Agreed interfaces, execution environment and controls, with checks before use in the operational process.
Phases and acceptance criteria are agreed for each project; analysis and validation may require multiple iterations.
Let’s talk
Let’s define the decision to support and the path from analysis to an operational system.
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