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Retail Solution: Speed Up the Analysis of Retail Data

Run advanced data analytics on a mix of data types gain a greater understanding of customers

Background
The value of big data is the ability to unlock insights into what drives customer behavior and buying habits. To stay ahead of the curve, retailers need a platform that runs advanced data analytics on a mix of data types, thereby allowing retailers to gain greater understanding of customer preferences and influencers. Moving forward, big data will drive higher revenue and create a competitive advantage for retailers who successfully turn this information into personalized shopping experiences.

Solution
The HP* platform running SoftNet Solutions* software provides advanced data analytics that enable retailers to analyze structured, semi-structured, and unstructured data in physical and virtual environments on a massive scale and in real time. In addition, the platform’s flexible configuration delivers automated high availability, fault tolerance, and disaster recovery. Built with Intel® Xeon® processors, the servers used to run Apache Hadoop* data mining software were at least three time faster than the featured company’s previous solution.


Benefits

  • Run Hadoop* workloads in less time
  • Analyze data from a wide variety of source
  • Maximize uptime with a highly available platform

 

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Key Ingredients

HP* DL360P* Server

Powered by the Intel® Xeon® processor E5 product family.

Softnet Solutions* Big Data Analytics Platform

Platform running Hadoop* software.


Selected Intel Offerings for Retail

Resources

Intel® Retail solutions

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Retail insights from
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Intel® Retail Solutions Partner Network

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