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PBT GroupMachine Learning

Machine Learning – Improve policies retention and streamline intermediary channels

The Company

A premium African financial services group that offers a broad spectrum of financial solutions to both retail and corporate customers across major markets in more than 17 countries. With well over 12 million customers, effectively managing data and implementing smart, cutting-edge solutions and machine learning models is vital to their success.

The Business Challenge

Identify and highlight business triggers in the management of the sales force that will allow to grow the business more effectively.

The Solution

The solution comprised of two machine learning models, developed to focus on the “Manpower” and the “Persistency” components of the intermediary performance measures. The two models effectively identify drivers which reduce lapse, or the cancellation rate and favour product holding, as well as changing the criteria for leads allocation within intermediaries such as ensuring a better match between agent and client.

The Value Proposition

Improved policy retention and streamlined intermediary channels to ultimately grow revenue, decrease risk, predict outcome and optimise processes & systems.

Technology

SPSS
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