Dell advanced its Statistica advanced analytics platform to deliver a host of capabilities designed to empower citizen data scientists, help organizations better address growing IoT analytics requirements, and better leverage increasingly heterogeneous data environments.
New features include functionality to help citizen data scientists easily prepare structured and unstructured data, the ability to deploy analytics on devices and gateways anywhere in the world for edge scoring, and the extension of in-database analytics capabilities to platforms such as Apache Hive, MySQL, Oracle and Teradata.
Dell Statistica v13.1 offers a set of new capabilities designed to meet the specific needs of the modern “citizen” data scientist. As the global need for traditional data scientists far outpaces the available supply, these citizen data scientists – everyday, non-technical users who are embedded in the line of business – will increasingly become the driving force behind analytics initiatives.
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.
Currently available, Statistica 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. Network analytics allows users to look at problems in new ways by visualizing entity relationships and viewing graphical association maps.
Dell Statistica 13.1 can simplify and enhance the delivery of advanced analytics include improved visualization dashboards, enabling users to visualize the results of any analytic node and tie process-specific visualizations to the top level of MAS dashboards. An upgraded Web user interface that allows users to distribute analytic outputs with a modern look and feel in any web browser, with 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.
In tandem with Statistica’s Reusable Process Templates, it’s easier for users to share and distribute analytic workflows with non-technical users. With Statistica, traditional data scientists can build analytic models and workflows once, and non-technical business analysts can reuse those workflow templates repeatedly within the organization, removing redundancy and enabling business users to use analytics to solve real business problems without the technical expertise traditionally required.
The new release also extends the Statistica Native Distributed Analytics Architecture (NDAA) capability to deliver in-database analytics to a wider range of databases. In addition to Microsoft SQL Server, Statistica users can now perform in-database analytics on Apache Hive (on Spark), MySQL, Oracle, and Teradata.
The use of in-database analytics improves analytic and network performance by allowing users to carry out intensive computations directly within the source systems. This enables organizations to leverage the compute power of Hadoop clusters, database appliances and other high-performance platforms, while reducing network traffic by eliminating the time-consuming process of moving massive amounts of data across the network.
When used in combination with Dell Boomi, Statistica gives users the ability to deploy “analytic atoms” on any edge device or gateway, including the Dell Edge Gateway 5000 Series, anywhere in the world. This edge scoring capability 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. This eliminates the effort and expense required to stream massive amounts of IoT data to a central analytic repository, as well as allows for immediate action to be taken at the point of impact in response to data insights.
When used in combination with Dell Boomi, Statistica now gives users the ability to deploy “analytic atoms” on any edge device or gateway, including the Dell Edge Gateway 5000 Series, anywhere in the world. This edge scoring capability 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. This not only eliminates the effort and expense required to stream massive amounts of IoT data to a central analytic repository, but it allows for immediate action to be taken at the point of impact in response to data insights.
