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September 24, 2015

Datawatch to Discuss New Data Preparation Breakthroughs at Predictive Analytics World

CHELMSFORD, Mass., Sept. 24 — Datawatch Corporation’s Chief Marketing Officer, Dan Potter, will present on new advances in data preparation for advanced analytics next week at Predictive Analytics World in Boston. Predictive Analytics World is the leading cross-vendor event for predictive analytics professionals, managers and commercial practitioners.

Potter’s session will show how new self-service data preparation solutions are having a tremendous impact on users of advanced analytics by providing faster, more accurate results. This session will highlight some of the innovative new approaches including how to:

  • Leverage a wider variety of data including multi-structured content (PDF, log files, JSON, etc.) and streaming data
  • Reduce the time required to extract, manipulate, enrich and combine disparate data
  • Automate the preparation and delivery of new data
  • Provide transparency on how data was manipulated and promote reuse

Details:

  • When: Monday, Sept. 28, 9:40am
  • Where: Amphitheatre, Seaport World Trade Center 200 Seaport Boulevard, Boston, MA 02210

About Datawatch Corporation 

Datawatch Corporation DWCH, -0.51% provides the only Managed Analytics Platform that brings together self-service data preparation with visual data discovery. Its software bridges the gap between the ease that business user’s demand and the automation and governance needed by IT. Users can quickly discover key factors that improve their business by transforming data from multi-structured sources, as well as real-time streaming data, into visually rich analytic applications. Organizations of every size, worldwide use Datawatch products, including 93 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Frankfurt, Stockholm, Singapore, Melbourne and Manila, and with partners and customers in more than 100 countries worldwide. Learn more at www.datawatch.com.

Source: Datawatch

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