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The retail industry today emanates a wealth of information in the form of structured and unstructured data, at an accelerating pace and volume. It’s both a boon and bane for retailer IT teams, who are responsible for helping their organizations leverage these datasets to improve profits, reduce costs and eliminate inefficiencies. Although data analytics engines have been available to generate business intelligence for years, the extreme composition and velocity of today’s big data necessitates new approaches and flexible tools. By automating the identification of anomalies, providing a wide range of mathematical and statistical analysis functions and by making every user a super user, New Jersey-based Agilence has found a unique way for organizations to get value out of their data resulting in better, faster decisions, happier customers and improved revenues and profits.



