ROUND ROCK, TX: Dell releases new version 13.1 for Statistica, an advanced analytics platform. The latest platform aids citizen data scientists and organizations with enhanced IoT analytics platform and the ability to help citizen data scientists easily prepare structured and unstructured data

In recent years, the significance of the role of data scientist has grown exponentially in response to the need to cultivate information from the vast amount of data a business accumulates. Advanced analytics as predicted by Gartner, will attract 40% of enterprises’ net new investment in business intelligence and analytics by 2020.

High-level data scientists are strong technically in programming and math compared to citizen data scientists. Empowering individuals with intuitive advanced and predictive analytics tools provide the business with additional and valuable resources to tackle the growing list of analytics projects and relieve current analysis bottlenecks. Dell Statistica 13.1 addresses this emergent need with new data preparation functionality built specifically for the citizen data scientist that simplifies the preparation of structured and unstructured data.

Dell Statistica, when used in combination with Dell Boomi, enables organizations to address nearly any IoT analytics use case by running analytic workflows directly at the edge of the network where data is created.

The new release extends the Statistica Native Distributed Analytics Architecture (NDAA) capability to deliver in-database analytics to a wider range of databases. Latest version extends in-database analytics to multiple platforms including Apache Hive, MySQL, Oracle, and Teradata. This enables organizations to enhance network performance by allowing users to carry out intensive computations directly within the source systems.

The latest version extends its capabilities in fraud detection as well. This will aid users to combine predictive analytics and human expertise in detecting fraud in networks.

Dell Statistica 13.1 features improved visualization dashboards, enabling users to easily visualize the results of any analytic node, an upgraded Web UI that allows users to distribute analytic outputs with a modern look and feel in any web browser and enhanced validated data entry, ensuring that individuals relying on manual data entry can build data quality into the point of collection so it can be trusted for robust analytics.