Dell Statistica Further Empowers Citizen Data Scientists With Collective Intelligence

ROUND ROCK, Texas--(BUSINESS WIRE)--#DellSoftwareGroup today announced the next major release of its award-winning advanced analytics platform, #DellStatistica 13.2. The latest release of Statistica helps companies transform their businesses and achieve new levels of success by embedding analytics everywhere and empowering a wider community of users and use cases. Key features include new collective intelligence capabilities to enable native integration with open source and application marketplaces, a new user interface designed to mask complexity and simplify workflows for citizen data scientists, and the ability to distribute data preparation and analytic workflows to any edge device or gateway. As advanced analytics gain increased traction as the primary vehicle through which organizations drive innovation, predict customer behavior, and optimize business and manufacturing processes, Statistica continues to build momentum. Earlier this year, Dell was positioned by Gartner, Inc. in the "Leaders" quadrant of the Gartner Magic Quadrant for Advanced Analytics Platforms (February 2016).1 More recently, Dresner Advisory Services named Statistica an overall leader in its 2016 Industry Excellence Awards. With release of version 13.2, Statistica continues that momentum and further moves advanced analytics into the mainstream by democratizing analytics for the masses. Leveraging analytic marketplaces with collective intelligence The latest release of Statistica leverages the power of the global analytics community through new collective intelligence capabilities that enable users to connect directly with analytics marketplaces, public datasets, and non-proprietary, standard scripting languages. To help address the global shortage of data scientists capable of building analytical models, a growing number of analytics experts are now sharing their models via online marketplaces and platforms. With Statistica 13.2, technical and non-technical users alike can now access via inbuilt nodes many of these pre-built models and integrate these into their existing Statistica workflow. This enables them to leverage a wider range of models without having to code and built them manually, while doing so within the validated and controlled framework Statistica provides. In addition to Statistica’s already robust support for R, with the latest release, users can now script in #Python, #C# and #VisualBasic. Online marketplaces accessible to Statistica 13.2 users include Apervita, a leading marketplace for healthcare analytics; Algorithmia, a fast-growing online analytics marketplace; and H20 Sparkling Water for #Spark on #Hadoop, an open source math and machine learning platform that enables users to access public datasets such as Amazon Public Data Sets. This compliments the #Azure ML node released in version 13.1, which enables users to push analytics to the cloud, and adds significant machine learning, deep learning, and big data capabilities to the platform. In addition, users can now lock and protect models as propriety IP, a capability developed in conjunction with Statistica’s OEM and Partner network, thus enabling those groups to publish models out to third parties themselves
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