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Arrow Electronics, Inc. (NYSE: ARW) is now the first company to sign a distributor-managed reseller agreement with SAS Institute, Inc.
SAS is a leader in business analytics software and services, and the largest independent vendor in the business intelligence market, with more than 70,000 sites in nearly 140 countries, including 91 of the top 100 companies listed in the Fortune Global 500. Effective immediately,
SAS is making its products and solutions available to customers worldwide through
Arrow Enterprise Computing Solutions’ network of authorized resellers in North America, Europe, the Middle East and Africa.
“SAS is enriching our portfolio with some of the most sophisticated analytical tools available,” said Mark Taylor, vice president of enterprise servers, systems and software for Arrow. “SAS solutions are the perfect addition to our existing Big Data and analytics software practice. Our solution providers are already finding exciting new ways to help customers create insights, solve complex problems, and make forward-looking decisions.”
“Arrow knows how to amplify the business value of SAS best-in-class solutions,” said Russ Cobb, SAS vice president of marketing and alliances. “They also understand their solution-provider community and how to position them for success in key markets. The combination of these service providers with Arrow and SAS will benefit our customers by giving them even more options for consuming SAS Analytics.”
The agreement between Arrow and SAS has already yielded immediate results. ICC, an Arrow solution provider, is working with a leading health care analytics provider to implement several SAS solutions. The health care analytics provider selected ICC because of the firm’s expertise in foundational data management and predictive analytics.
“At ICC, we enable our clients to harness the full value of their investments in data and analytics,” said Cory Davis, ICC business analytics partner manager. “Implementing SAS for Business Intelligence, Data Integration, Data Mining and Statistical Modeling will provide personalized insights for improving patient health.”