Datawatch And Semantic Visions Enable Real-Time Predictive Analysis And Visualization For SAP HANA Delivers Next Generation Analytics Solution for Supply Chain Disruption
CHELMSFORD, Mass., Oct. 23, 2013 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of visual data discovery solutions, today announced an OEM partnership with Semantic Visions to deliver real-time predictive analysis and visualization of supply chain disruptions on the SAP HANA platform. Under the terms of the OEM agreement, Semantic Visions will embed Datawatch's visualization capabilities into its Vega product to provide large manufacturers with the real-time visibility needed to effectively run their business.
"With our Datawatch partnership, we now offer the best data visualization software available for real-time predictive analysis of supply chain disruptions," said Frantisek Vrabel, chief executive officer for Semantic Visions. "Big Data and the accelerating pace of business are placing a premium on the ability to easily access and visually explore vast amounts of supply chain information at any speed, especially real-time. As a Big Data solution based on the SAP HANA platform, we needed a next-generation analytic solution that could visualize vast amounts of information in real-time and Datawatch was the only product that could meet these requirements."
Using a proprietary semantic web mining system, Semantic Visions' Vega automatically "reads" one million articles in 11 languages from 160,000 news sources to identify and predict potential supply chain disruptions caused by any number of possible sources including: natural disasters, industrial accidents, war, terror, social unrest, labor disputes, crime, legal actions and other threats. The Datawatch powered user interface with advanced real-time visualizations displays the complex results in an uncluttered and intuitive manner to empower better business decisions.
"To stay competitive, manufacturers need to harness and visualize all of the relevant information to run their business regardless of its type, its size or the speed in which it's delivered," said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch. "Semantic Visions' Vega is an excellent example of an emerging groundbreaking analytic application that combines the in-memory performance of SAP HANA with real-time visual data discovery from Datawatch."
ABOUT DATAWATCH CORPORATION
Datawatch Corporation (NASDAQ-CM: DWCH) 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 allow 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, 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. See the Whole Story for yourself by downloading the free trial at www.datawatch.com/trial.
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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 information optimization 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; 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, 2012, Form 10-Q for the quarters ended December 31, 2012, March 31, 2013 and June 30, 2013, and Definitive Proxy Statement on Schedule 14A filed with the SEC on August 5, 2013. Any forward-looking statements should be considered in light of those factors.
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