Absa Card selects Model Builder for portfolio management strategies

Source: PIC Solutions

Absa Bank, has selected Model Builder for Decision Trees for enhanced data-driven account management strategies.

Model Builder for Decision Trees, from Fair Isaac International, is analytical software which examines historical customer data and results. The relationships and patterns that are discovered by MB4DT are then used to predict future customer behaviour.

MB4DT enables the development of new data-driven account management strategies, which can be applied to all aspects of a portfolio, including risk, customer communication, authorisations, card reissue and performance-based pricing.

Dr. Tjaart van der Walt, General Manager, Group Credit at Absa Bank comments that, "The credit card business has become one of the most fiercely competitive sectors of the financial services environment. MB4DT offers us advanced analytical tools to develop strategic business decisions, optimise our credit card portfolio and maximise the profitability of our card division. We look forward to working with the PIC Solutions consultants on this exciting new project."

Obakeng Khutsoane, General Manager of Absa Card Division states, "We are excited about using the MB4DT software to understand our clients' needs and predict future customer behaviour. MB4DT uses historical data to create decision trees and effective challenger strategies. Absa Credit Card Division can use this information to create new strategies and products to suite the growing needs of our clients."

Dave Lewis, Director at PIC Solutions adds, "The Model Builder for Decision Trees 2.0 is a highly flexible tool which uses data to visualise and enable rapid design of more profitable credit and risk strategies. PIC Solutions strategy consultants will work closely with the Absa Card Division to develop decision strategies that will provide them with a competitive advantage. Through MB4DT Absa will be able to automate their credit decisioning, deploy flexible, responsive account management strategies, and increase their profitability."

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