Dell integrates Datawatch visualization engine to its analytics platform

|June 18, 2015 0

BANGALORE, INDIA: Dell Software today announced a new partnership with Datawatch Corporation, to integrate interactive visualization and dashboarding capabilities directly into its Statistica advanced analytics platform. This will empower line of business users to stream data into interactive visual representations and discover hidden patterns.

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.

“In the current business scenario, it has become highly imperative for companies to efficiently use data to get a better understanding of their customers. Having said that, possessing advanced analytics proficiencies automatically becomes critical for all companies, including Dell. Hence, ensuring that these capabilities are readily available to our customers becomes a priority for us,” Said Murli Mohan, Director & General Manager, Dell Software Group.

Michael Morrison, President and CEO, Datawatch said, “Dell today leapfrogs their competition with a combined solution that brings their advanced analytics together with the self-service data preparation and visual data discovery that only Datawatch can deliver. This offering provides a tremendous value proposition in meeting current and emerging analytics requirements.”

The new Statistica visualization and dashboarding functionality is available to users in version 12.7.

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.

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