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Customer Chemistry Joins SAS Partner Program

Building on a Successful Value-Added Relationship

Herndon, VA, August 28, 2006: To address the growing demand for SAS® customer intelligence (BI) software and services, Customer Chemistry, a DHSoft Company, today announced that it has become a SAS Silver Alliance Partner and Reseller.

 

With a mutually agreed upon set of parameters, the alliance will increase SAS' market penetration by authorizing Customer Chemistry to deliver value-added services to SAS customers and resell the most extensive analytic customer intelligence software on the market.

"SAS' customer intelligence software provides accurate, reliable and easy access to predictive information, serving as the foundation for our work in optimizing marketing ROI for customers," said Chris Checco, Vice President, Modeling and Analytics at Customer Chemistry. "Working with SAS BI software on behalf of a major telecommunications company, we helped increase operational revenues by $1B, reduce customer churn rates 40%, and increase revenues from campaign uplift by $100M."

 

"This alliance represents a logical expansion of the very strong SAS direct sales force," said Jack Duncan, Director of SAS Channel Sales. "Customer Chemistry and its parent company, DHSoft, have proven to be an important value-added partner with the expertise and resources needed to implement a wide variety of SAS solutions."

 

For more information on the SAS Customer Chemistry alliance, please visit www.sas.com/ctx/partners/partner.jsp?partid=2303

 

About Customer Chemistry

Customer Chemistry (www.customerchemistry.com), a DHSoft Company, helps companies improve marketing ROI and build stronger customer relationships by using predictive analytics to increase the accuracy and efficiency of retention, cross-sell/up-sell and customer acquisition campaigns. Able to fully integrate with existing data warehouses, billing and CRM systems, Customer Chemistry solutions enable clients to better focus their marketing budgets and resources by helping them differentiate between customers based on future buying propensity, behavioral drivers and profitability.