Retailers that are positioned to respond quickly to market shifts and competitive demand across channels are well positioned to increase profitability and market share.
With a recent upgrade to EmcienPatterns, a cloud-based data analytics and pattern-detection platform, Emcien is striving to help retailers improve interactivity and usability in leveraging Big Data.
EmcienPatterns algorithms are designed to handle the volume, velocity and variety of Big Data, and to overcome the limitations of legacy business intelligence and database tools. The interactive, investigation solution operates on very large quantities of multi-dimensional data to correlate individual events and data points into a large-scale relational graph. Graph algorithms identify undiscovered patterns and important connections in sales, logistics, supply and manufacturing, streaming text and social media data.
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“EmcienPatterns solves the big question retailers are asking: ‘What is selling and who is buying?’” said Russ Caldwell, CTO, Emcien. “EmcienPatterns analyzes the critical connections between products based on real-time customer-buying patterns. This latest version enables managers to do their jobs more efficiently and with more confidence in their decisions.”
