Published: Monday August 29, 2011 MYT 2:32:00 PM
Malaysia Building Society Bhd (MBSB) has enhanced its data mining solution with the SAS Rapid Predictive Modeler solution for better and more precise insights on its customers.
The business intelligence generated will allow the finance company to create better products and services for its customers, said Datuk Ahmad Zaini Othman, chief operating officer of MBSB. MBSB is one of earliest adopters of SAS Rapid Predictive Modeler since its was released globally late last year.
The SAS solution enables business analysts and subject-matter experts with limited statistical expertise to quickly generate their own predictive models based on specific needs and business scenarios.
“This upgrade helps us uncover unknown patterns, opportunities and insights to drive proactive, evidence-based decision making,” Ahmad said.
MBSB has spent about RM1.4mil to date investing in SAS solutions.
The relationship between the two companies started in 2005 when MBSB purchased SAS’ Credit Scoring solution, which provides fast, accurate credit scoring for nearly all consumer-lending products.