Briefs

SASŪ Enterprise Miner(tm) data mining software fuels 14 percent revenue growth

CARY, NC (December 18, 2008) - Noel-Levitz helps colleges and universities determine with high accuracy which students are most likely to enroll and succeed. The company uses predictive analytics from SAS, the leader in business analytics, to forecast the behavior of prospective students, determine which are at risk and identify factors influencing student retention. This allows campuses to shape their enrollments with precision, while using scarce resources more strategically.

Noel-Levitz has leapfrogged its competition by predicting which 20,000 to 30,000 of the 2.5 million eligible high school seniors are most likely to enroll in any particular school each year and by quickly getting lists to its customers. The company's competitors, who charge for lists by volume, cannot narrow the target so successfully. Noel-Levitz customers are able to use their budget dollars to attract and retain more of the students they really want, saving time and money along the way.

SAS Enterprise Miner data mining software is critical to Noel-Levitz's ability to better serve its customers in admissions, financial aid, and other departments concerned with student retention and success. Newest products include SMART Approach, a system for qualifying student names, and retentionRT, which predicts student success and student loan repayment. This expansion accounted for 14 percent of top-line revenue in the past two years.

For more information, visit www.noellevitz.com.