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Rule Based Analytics


Enable a data driven structured process to increase chances of enterprise reaction to random events.

Predictive or diagnostic analytics are easy to achieve in the scenario of a linear series regression, however business scenarios requiring complex analysis and unravelling hidden patterns as in the following use cases:

Claims Fraud Analytics

Automated Advice – Broker Solutions and Investment Analytics

Credit and Lending Analytics

Relationship and Entity Analytics

Decision tress help in outlining a step wise probabilistic approach in helping reaching a classification tree for decisions and alerts. The process involves leveraging data from transactional data and unravelling quantitively nodes of decisions and outcome branches representing different possible decision paths and chance events.


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