Dell Software has announced a new partnership with Datawatch Corporation (NASDAQ: DWCH), continuing the growing momentum of its analytics business by integrating highly interactive visualization and dashboarding capabilities directly into its Statistica advanced analytics platform.
Already known for its robust offering of more than 16,000 analytical options, Statistica now will empower line of business users to stream data into compelling and interactive visual representations to better facilitate the sharing of information and discovery of hidden patterns.
Statistica delivers a full range of advanced and predictive analytics tools that help organizations predict future trends to identify new customers and sales opportunities, forecast industry shifts, explore “what-if” scenarios, and reduce the occurrence of fraud and other business risks. Datawatch provides an ideal complement by enabling self-service data preparation from structured and multi-structured sources such as PDF and log files, as well as real-time streaming data, and delivering this into rich visualizations. As a result of the new partnership, Datawatch’s technology will serve as the permanent visualization engine for the Dell Statistica platform, with its visual discovery and dashboarding capabilities available natively to Statistica users, without the need for additional software licenses from Datawatch.
The new Statistica visualization and dashboarding functionality is available to users in version 12.7, now generally available.
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In addition to the partnership with Datawatch, Dell Software also has enhanced Statistica through deeper development of the solution’s big data analytics module (formerly, Kitenga), as well as through integration with its Toad and Boomi product lines. These integrations give Statistica a comprehensive data connectivity layer that enables users to connect to more than 164 data sources – both on premises and in the cloud – from traditional systems such as Oracle, Microsoft SQL Server and MySQL, to modern data stores such as MongoDB and Hadoop, all without the need for constant IT support.
The development work also expands Statistica’s text mining capabilities with advanced natural language processing, entity extraction, and search capabilities, and allows organizations to deploy analytical models directly within Hadoop. Deploying models on full volume data direction within Hadoop eliminates the bottleneck of having to duplicate and move large volumes of data to a traditional analytics processing environment.