MapR Customer: Management Science Associates

Management Science Associates Builds Next-Generation Data Warehouse and Near-Real-time Analytics on MapR

Management Science Associates, Inc. (MSA), an industry-recognized leading developer and supplier of consumer packaged goods (CPG) and demand chain data processing and analytical solutions, is using the MapR Converged Data Platform to drive additional revenue and competitive advantage by providing its customers new offerings with near- real-time capabilities.

MSA collects and processes data from 7,000 distributor warehouse files, reporting its shipments to over one million unique retail outlets. MSA analyzes this data to provide its customers with actionable insights to drive their business, such as understanding of new product acquisition, trade program planning and execution and mitigation of voids and out-of- stocks.

MSA is building a next-generation data warehouse environment that will improve their analytic capabilities such as near-real- time predictive analysis.

"The MapR file system is the fastest file system on the planet. Now we're being asked to collect data from thousands of data sources, aggregate it and turn it around on a daily or even near-real-time basis. The MapR platform running on our Cisco hardware has allowed us to meet that demand."

-Corey Grone, Senior Information Systems Manager at MSA

"The other distributions didn’t have the same capabilities as MapR. It was a clear choice. MapR is the industry leader."

-Kevin Whitfield, Director, Applications Group at MSA

"We run and manage and operate 2 data centers, and so having the ability to fail over between them is a critical criteria for us. With our new infrastructure on Cisco and MapR we really feel that we can grow into the petabyte scale with no limitations."

-Karl Herleman, Senior Vice President, Strategy and Innovation at MSA

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Management Science Associates (MSA) Builds Next-Generation Data Warehouse and Near-Real-time Analytics on MapR
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Management Science Associates (MSA) Builds Next-Generation Data Warehouse and Near-Real- Time Analytics on MapR
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