Major Philippine retailer leads with SAS® big data visualization 

SAS® Visual Analytics helps SM Marketing Convergence improve acquisition, reduce churn, increase up-sell, cross-sell and better understand 10 million members and other customers

Sitting on more than 800 million stored transaction records, SM Marketing Convergence Inc. (MCI) executives knew tremendous insights were buried in their data. To address its big data conundrum, MCI needed powerful business intelligence software to analyze, uncover and present the resulting insight.

The affiliate company of SM Retail Group and part of one of the largest and most successful conglomerates in the Philippines, MCI chose SAS® Visual Analytics, powerful in-memory software for advanced data visualization and business intelligence.

SAS Visual Analytics, chosen to replace QlikView from QlikTech, will enable leaders of the company's SM Advantage loyalty card program to improve new member acquisition, reduce churn, increase up-sell and cross-sell, and better understand its 10 million members and non-member customers.

"We have always valued the dedication and support the SAS team has shown MCI over the years. SAS continues to be ever-mindful of our needs and commits these into the development of new analytics technologies – as evident in SAS Visual Analytics," said MCI President and Chief Executive Officer Baldwin C. Golangco.

MCI processes vast amounts of transaction data every day to enable customers to accurately see accrued loyalty points. The MCI data store represents an extremely rich market-data source for all retail spending in the Philippines. In addition to loyalty cardholder purchases, MCI collects all customer transactions for its hypermarket and grocery business, including details at the SKU level. The MCI team is now using this data internally for marketing card renewals and measuring promotional response.

With MCI's traditional computing infrastructure, teams could only execute limited analytics and deliver basic reports. With the in-memory architecture of SAS Visual Analytics, the company can more fully explore available data to deliver in-depth internal reports, identify big data insights before they are obsolete, and use the insights gained to provide a superior customer experience that features relevant and timely offers or promotions.

SAS Visual Analytics, a member of the SAS High-Performance Analytics family, combines the industry's leading analytics with unique in-memory architecture, advanced data visualization and exploration, and robust reporting including information delivery to the iPad® through SAS Mobile BI. SAS offers the only in-memory engine designed specifically for business visualization of big data on general-purpose, nonproprietary hardware.

Please visit the SAS Visual Analytics page at http://www.sas.com/technologies/bi/visual-analytics.html

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