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MBSB upgrades data mining solution

Malaysia Building Society Berhad (MBSB) has enhanced its data mining solution to upgrade their existing predictive analytics and data mining solution which was implemented in 2005.

According to Dato' Ahmad Zaini Othman, CEO of MBSB, it was aimed for holistic reporting to address high non-performing loans (NPLs). Now they are using campaign management and credit scorecard solutions to better measure clients' behaviour and campaign penetration. Through product development and new marketing campaigns, MBSB plans to grow its retail assets - personal financing and home mortgage products.

MBSB will capitalise on its strengths as a small financial institution by concentrating on agile decision-making, personalised customer service, flexibility and fast turnaround time. The company does not plan to compete directly with existing financial players.

Solution aims to drive proactive decision-making

"MBSB relies on our solutions to realise its corporate objectives, especially assessing and approving good loans via credit risk scorecard for its retail business," said SAS Managing Director Andrew Tan. "MBSB decision makers can now execute their business plans effectively and efficiently. The new solution will help MBSB uncover unknown patterns, opportunities and insights to drive proactive, evidence-based decision making."

MBSB recently introduced an array of new products, such as the MBSB Ultimate, Bijak Malaysia (Bancassurance) and the Cheeky Savings Account, to tap into underpenetrated markets, such as young professionals just beginning their careers and requiring reliable financial advice.

In addition, the credit scorecard systems will give MBSB a comprehensive customer view based on behaviour variables and demographics. The dashboard reporting is essential to lowering rates of NPLs, currently 20 to 25 percent for 2011.

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