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Lavastorm Optimizes R Programming with its Visual Analytics Solutions

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October 16, 2012

Lavastorm Optimizes R Programming with its Visual Analytics Solutions

By Shamila Janakiraman, TMCnet Contributor


Lavastorm Analytics, a global analytics software company, announced that its Lavastorm Analytics Platform and its core Lavastorm Analytics Engine are capable of supporting statistical and predictive data analytics models written using the open source R programming language.


“R’s emergence has been a natural extension of the explosive rise in use of analytics to optimize business performance,” said Drew Rockwell, CEO, Lavastorm Analytics. “It provides extremely powerful computation functionality, and is designed to be extensible through community-driven libraries like our own Lavastorm Analytics Library.

Officials explained that the analysis support is enabled by the new R Analytics Pack in the Lavastorm Analytics Library. Enterprises can now directly integrate analytics written in R into broader business intelligence (BI) and business data analytics applications leveraging Lavastorm’s drag-and-drop visual discovery interface.

With greater preference for linear regressions, clustering, and financial modeling, enterprises are desirous to augment their analytics programs making them more agile, data-driven businesses.

“The trend now is to make investments in R-based analytics more accessible to business analysts, not just the programmers that created them, so that the analytics can be more broadly used across the business to analyze and control various operations, and Lavastorm’s unique visual interface will help this greatly,” said Carl Lehmann, research manager, enterprise architecture, integration and business process management at 451 Research.

The new R Analytics Pack incorporates Lavastorm Analytics Engine, which allows R programmers to consolidate disparate data and cleanse it themselves. In addition, Lavastorm Analytics Engine helps business analysts tackle statistical, financial, and predictive analyses to deliver competitive pricing and prevent customer churn.

Also, users can adapt complex R-based programming code into reusable analytic building-blocks. The R analytics data can be stored in pre-configured, drag-and-drop functions that can be accessed easily to do customized analysis of business processes, said officials.

Drew Rockwell, CEO, Lavastorm Analytics remarked, “Our new R Analytics Pack not only extends the Lavastorm platform to encompass completely new types of analyses through R, but also makes R’s unique abilities truly accessible to business analysts. This will be invaluable for enterprises grappling with Big Data challenges.”

Recently, Allstream a business communications provider announced that it is using the Lavastorm Desktop Professional product to process, organize and clean account data within its customer relationship management (CRM) system.




Edited by Brooke Neuman







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