StrategyOne: Decision Management

A user-friendly solution for managing and automating decisions.

Decision engine solution can handle business-related calculations of varying complexity in a centralised platform. The solution is enhanced by user-friendly features designed to speed up maintenance and to automate any business logic, like pre-screening, scoring, monitoring, collection and so on. Business rules and decision logics with graphical visualisation can be built and customised without the need for deep IT knowledge.

StrategyOne

StrategyOne is CRIF's technology that empowers business users, putting them in the driver's seat to easily implement, test, monitor, and modify business rules, credit scores, calculations, and entire decision processes. StrategyOne helps you to reduce costs due to hard-coded rules dispersed throughout your systems, while embracing a new decision management approach.

Thanks to StrategyOne, you can:

  • Reduce costs due to hard-coded rules dispersed throughout your systems while embracing a new decision management approach.
  • Design strategies through drag-and drop rules, calculations, decision trees, scorecards, decision tables, machine learning and more, followed by the ability to evaluate scenarios.
  • Increase the velocity of change while avoiding typical issues related to translating business requirements into code specifications.
  • Monetise analytic investments, enhancing the capacity to get expert decisions with the ability of machine learning to evaluate multiple and unconventional factors.
  • Make standardised and centralised decisions that help meet compliance requirements at all stages of the customer lifecycle.

KEY FEATURES

  • Intuitive visual designer to author and test decision logic that requires zero coding.
  • What-If analysis to massively evaluate the impact of your strategy or compare with a benchmark.
  • Advanced simulation to graphically see which parts of the process work work well and which need adjustments.
  • Deploy new decision logics without downtime.
  • Discovery of alternative optimized strategies, leveraging machine learning and optimisation, and receiving suggestions on alternative strategies that meet the business goals and constraints.
  • Create self-made dashboards and query your live data in production to monitor the performance of your decision strategies.