Datawatch Corporation, a leading global provider of visual data discovery solutions, announced today that Pedro Vascones, staff engineer for Intel worldwide has been awarded the 2014 Ventana Research Business Technology Leadership Award in the Information Technology Innovation category. Vascones won the award for his use of Datawatch to transform analysis and communication of data being collected in factory operations.
Using Datawatch Desktop, Intel is able to conduct predictive maintenance and machine performance by analyzing the massive amounts of data generated by their automation monitoring system. Prior to adopting Datawatch for visual data discovery and analysis, Intel relied on spreadsheets and specialist experts to collect and analyze production data.
The spreadsheet-based system for analysis relied on complex techniques to interpret the data and a time consuming, manual approach to examining the large volumes of spreadsheet reports generated. With Datawatch, data and spreadsheet expertise that was previously required isn’t needed in order to do in-depth analysis. Intel now has educated experts in their field who can also be experts in visualizing and analyzing the data behind the story.
"Congratulations to Intel and Datawatch for their Technology Leadership Award in category of IT Analytics," said Mark Smith, chief executive officer and chief research officer, Ventana Research. "Datawatch’s ability to provide an analytic discovery and exploration environment has helped Intel optimize use of information efficiently, including the use of machine data for guiding effective actions and decisions."
This year’s winners will receive their awards during the Technology Leadership Awards Ceremony at The 2014 Ventana Research Summit on Oct. 22, 2014 at the Hyatt Regency San Francisco Airport in Burlingame, California.
About Datawatch Corporation
Datawatch Corporation (datawatch.com) provides visual data discovery software that optimizes any data regardless of its variety, volume, or velocity delivering next generation analytics to reveal valuable insights for improving business. Its unique ability to integrate structured, unstructured, and semi-structured sources like reports, PDF files and EDI streams with real-time streaming data into visually rich analytic applications allows users to dynamically discover key factors that impact any operational aspect of their business. This ability to perform visual discovery against any data sets Datawatch apart in the big data and visualization markets. Organizations of every size, worldwide use Datawatch products, including 99 of the Fortune 100. Datawatch is headquartered in Chelmsford, Massachusetts with offices in New York, London, Munich, Stockholm, Singapore, Sydney and Manila, and with partners and customers in more than 100 countries worldwide.
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Any statements contained in this press release that do not describe historical facts may constitute forward-looking statements as that term is defined in the Private Securities Litigation Reform Act of 1995. Any such statements, including but not limited to those relating to results of operations, contained herein are based on current expectations, but are subject to a number of risks and uncertainties that may cause actual results to differ materially from expectations. The factors that could cause actual future results to differ materially from current expectations include the following: risks associated with the continuing weak global economy; risks associated with fluctuations in quarterly operating results due, among other factors, to the size and timing of large customer orders; risks associated with acquisitions, including the recent acquisition of intellectual property from Math Strategies and the acquisition of Panopticon; the volatility of Datawatch’s stock price; limitations on the effectiveness of internal controls; rapid technological change; Datawatch’s dependence on the introduction of new products and possible delays in those introductions; competition in the software industry generally, and in the markets for next generation analytics in particular; Datawatch's dependence on its principal products, proprietary software technology and software licensed from third parties; risks associated with international sales and operations; risks associated with indirect distribution channels and co-marketing arrangements, many of which were only recently established; the adequacy of Datawatch’s sales returns reserve; risks associated with a subscription sales model; Datawatch’s dependence on its ability to hire and retain skilled personnel; disruption or failure of Datawatch’s technology systems that may result from a natural disaster, cyber-attack or other catastrophic event; and uncertainty and additional costs that may result from evolving regulation of corporate governance and public disclosure. Further information on factors that could cause actual results to differ from those anticipated is detailed in various publicly-available documents, which include, but are not limited to, filings made by Datawatch from time to time with the Securities and Exchange Commission, including but not limited to, those appearing in the Company's Annual Report on Form 10-K for the year ended September 30, 2013 and Forms 10-Q for the quarters ended December 31, 2013, March 31, 2014 and June 30, 2014. Any forward-looking statements should be considered in light of those factors.
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