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    MapR Launches Analytics Package Backed by Data Scientists

    Written by

    Chris Preimesberger
    Published November 23, 2016
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      eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.

      Need a data scientist to help solve a marketing or sales analysis problem?

      Converged data platform provider MapR Technologies on Nov. 22 announced the launch of its Customer 360 Quick Start Solution marketing package, powered by the company’s converged data platform and backed up by its group of data scientists.

      The new software package uses advanced, real-time analytics to bring real-time data to a point of sale, social interaction or ecommerce site. This package also connects marketing organizations directly with MapR data scientists using event-driven microservices to deploy the MapR Converged Data Platform as needed for whatever use case is being deployed.

      “In the C-suite, CMOs may have the most to gain and the most to offer by adopting real-time Customer 360 use cases,” MapR Senior Vice-President of Worldwide Services Dave Jespersen said. “Digital marketers now have enormously powerful tools with which to understand and adjust to how customer and markets evolve, and this Quick Start Solution puts them on the fast track for realizing the benefits.”

      Conventional CRM Doesn’t Scale as Well

      Conventional customer relationship management (CRM)-powered solutions typically are not as scalable; they tend to break down when data volumes and variety are added to the picture en masse. Predictive and accurate customer analytics stem from richer data sets (e.g. social, credit, behavioral) and machine learning models, Jesperson said.

      Using this new IT, marketers can get a clearer vision of what a data-driven marketing organization must support such as sales and marketing operations, content and ad targeting and voice-of-the-customer.

      The core of the MapR Customer 360 QSS is to plan and execute machine learning models to address key digital marketing imperatives for the CMO, Jesperson said.

      Several Use Cases in the Mix

      Use cases include customer upsell and cross sell, micro segmentation, call center analytics, and content targeting recommendation engine. As part of the QSS, MapR Professional Services provide discovery and planning (1 Week), and development and project execution (5 Weeks).

      The execution phase includes curation of data sources, machine-learning iterations (features, modeling, metrics), knowledge transfer to customer to maintain / implement solution, and continuous training and consultation about tools and use case roadmap.

      The new MapR Customer 360 Quick Start Solution is available now from MapR worldwide. Go here for more information.

      Chris Preimesberger
      Chris Preimesberger
      https://www.eweek.com/author/cpreimesberger/
      Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.
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