Dell Launches New Statistica Version to Address Proliferating Advanced Analytics Requirements

By CIOReview | Friday, April 29, 2016

FREMONT, CA: With colossal volumes of data being generated, organizations worldwide are turning to advanced analytics to decipher the real worth lying beneath. Statistica, an award winning advanced analytics platform from Dell, now has its latest version 13.1 available worldwide. Dell Statistica 13.1 is designed to empower citizen data scientists, help organizations better address growing IoT analytics requirements and leverage increasingly heterogeneous data environments.

The latest version tends to the worldwide shortage of traditional data scientists. With this version organizations would be better able to manage the complexities of modern IoT environments and address the proliferation of new data sources and data types.

Built specifically for the citizen data scientists, with new data preparation functionality Dell Statistica 13.1 addresses the growing demand of data scientists by simplifying the preparation of structured and unstructured data. Sharing and distribution of analytic workflows by data scientists with non-technical users has been made easier. This eliminates redundancy and allows business users to efficiently use analytics to solve real business problems without the technical expertise traditionally required.

The latest Statistica, when used with Dell Boomi, allows deployment of “analytic atoms” on any edge device or gateway, anywhere in the world. Owing to this capability organizations can now address nearly any IoT analytics use case by running analytic workflows right where data is created.

The extension of Statistica Native Distributed Analytics Architecture (NDAA) capability to deliver in-database analytics over wider range of platforms as Apache Hive, MySQL, Oracle, and Teradata is a vital new enhancement.

Statistica now also features new network analytics capabilities that enable users to combine the power of predictive analytics with human expertise to better detect fraud and understand relationships within complex networks.