WALLDORF, Germany, July 22, 2014 /PRNewswire/ -- SAP SE (NYSE: SAP) today announced the integration of its automated predictive analytics software, the SAP® InfiniteInsight® solution, with the SAP Customer Engagement Intelligence solution powered by SAP HANA®. The combination of these solutions provides businesses with simplified processes for analyzing and targeting customers, in addition to building models faster and more accurately.
To help analyze and target relevant customers, SAP InfiniteInsight automates the building of sophisticated predictive models and helps users quickly get to the right algorithm for their business problem with a model built for accuracy and optimal results. Through SAP InfiniteInsight, customers can now use all available variables in SAP Customer Engagement Intelligence and stack them against one another in order to identify the predictive ones, allowing the user to better understand the key drivers of each model within minutes.
"As part of SAP's continued efforts to simplify IT for all of our customers, the integration of SAP InfiniteInsight into SAP Customer Engagement Intelligence is a first step toward making predictive analytics available to everyone," said Shekhar Iyer, global vice president, Business Intelligence and Predictive Analytics, SAP. "The integrated solution puts the power of predictive analytics into the hands of the business user, enabling more effective targeting and faster time to value by integrating business intelligence, agile visualization and advanced analytics into standard business processes."
In the rapidly changing telecommunications industry, understanding customer preferences and responding in real time is a critical capability for communications service providers (CSPs). With the integration of predictive modeling and customer engagement solutions from SAP, CSPs can increase the efficiency and effectiveness of their marketing, sales and service organizations to better deliver personalized services, increase customer loyalty and reduce churn.
Cox Communications, the third largest cable provider in the U.S. with an approximately 6 million customers spanning across 18 states, is currently utilizing SAP InfiniteInsight to strengthen customer relationships with predictive modeling. Cox implemented SAP InfiniteInsight to improve customer acquisition and retention by providing customized product recommendations.
"Through SAP InfiniteInsight, Cox has been able to quickly poll through massive amounts of data to generate custom models for various regions and products," said Parimala Narasimha, director, Marketing Analytics, Cox Communications. "With SAP, we are able to derive insights in an automated way and provide customized recommendations."
SAP Customer Engagement Intelligence enables companies to discover actionable insights from large data volumes to engage current and prospective customers by running advanced segmentations on large populations and inputting those insights into targeted and personalized marketing campaigns. Since implementation of SAP Customer Engagement Intelligence began, T-Mobile US has optimized its customer experience and delivered relevant and personalized offerings expected to help increase customer loyalty and retention.
"T-Mobile strives to make every interaction relevant and meaningful based on customer's current profile and needs," said Kari Escobedo, vice president, Enterprise Systems Development, T-Mobile US. "By leveraging data insights delivered by SAP, T-Mobile US can build a customer engagement model that allows us to offer targeted and relevant offers."
With this new integration, SAP customers can seamlessly access SAP InfiniteInsight through SAP Customer Engagement Intelligence to run the fully-integrated predictive analytics solution. Additionally, customers benefit from a rapid speed of deployment, as they will be able to access and run the entire process on SAP HANA either on premise or via the cloud.
For more information, visit the SAP News Center. Follow SAP on Twitter at @sapnews.
Media Contact:
Kate McNeel, +1 (484) 624-2256, [email protected], CDT
Any statements contained in this document that are not historical facts are forward-looking statements as defined in the U.S. Private Securities Litigation Reform Act of 1995. Words such as "anticipate," "believe," "estimate," "expect," "forecast," "intend," "may," "plan," "project," "predict," "should" and "will" and similar expressions as they relate to SAP are intended to identify such forward-looking statements. SAP undertakes no obligation to publicly update or revise any forward-looking statements. All forward-looking statements are subject to various risks and uncertainties that could cause actual results to differ materially from expectations. The factors that could affect SAP's future financial results are discussed more fully in SAP's filings with the U.S. Securities and Exchange Commission ("SEC"), including SAP's most recent Annual Report on Form 20-F filed with the SEC. Readers are cautioned not to place undue reliance on these forward-looking statements, which speak only as of their dates.
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SOURCE SAP SE
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