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MBSB Selects SAS Rapid Predictive Modeler

By Raju Shanbhag
TMCnet Contributor

SAS (News - Alert) has announced that its SAS Rapid Predictive Modeler has been selected by Malaysia Building Society Berhad (MBSB) to get insights about customers.

With SAS Rapid Predictive Modeler, business analysts and subject-matter experts with limited statistical expertise can quickly generate their own predictive models based on their specific needs and business scenarios.

MBSB plans to grow its retail assets –personal financing and home mortgage products through intensive product development and new marketing campaigns. With this agreement, the company also looks to establish its position as a reliable corporate financial provider. As a small financial institution, MBSB can provide advantages such as efficient decision making, personalized customer service, flexibility and fast turnaround time. The company has no plans of competing directly with existing financial players.

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

To tap into underpenetrated markets, such as young professionals just beginning their careers and requiring reliable financial advice, MBSB recently introduced an array of new products, such as the MBSB Ultimate, Bijak Malaysia (Bancassurance) and the Cheeky Savings Account. Also, based on behavior variables and demographics, the credit scorecard systems will give MBSB a comprehensive customer view. While NPLs are currently at 20 to 25 percent for 2011, the dashboard reporting is essential to lowering these rates.

In September 2010, the company announced that it was implementing an upgrade of the enterprise risk management program for Alliant Credit Union of Chicago. The upgrade will enable Alliant, who is the seventh-largest U.S. credit union asset-wise, to strengthen its market leadership in standardizing common risk management definitions and processes. The SAS OpRisk Management from the leader in business analytics was chosen based on the successful 2009 SAS Analytics implementation.

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