Datawatch Announces Global Strategic Alliance with Perceptive To Enhance Analytics for Content Management Solution Partnership to Offer Unprecedented "Search-to-Action" Content Analytics
CHELMSFORD, Mass., May 9, 2014 /PRNewswire/ -- Datawatch Corporation (NASDAQ-CM: DWCH), a leading global provider of visual data discovery software, today announced a strategic alliance with Perceptive Software that will provide the Enterprise Content Management (ECM) and Business Process Management (BPM) industries with the enhanced ability to analyze data trapped in unstructured and semi-structured content such as reports, PDFs, HTML files, EDI streams, print files, log files and other content-rich data sources. The combination of Perceptive and Datawatch technologies will offer customers the capability to transform their ECM solutions into dynamic decision support environments. The collective offering accelerates and improves decision-making across enterprises by allowing users to unlock, and analyze, data that is trapped in the static documents that are stored and indexed in Perceptive ECM. The integrated solution provides a framework for customers to harness immeasurable analytical value from the structured, semi-structured and unstructured data in their ECM systems – a value proposition in the 'Big Data' world that is unprecedented.
"Thousands of companies worldwide already rely on both Datawatch and Perceptive to manage and analyze their most critical information assets," said Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch. "While traditional ECM solutions offer the ability to store and search for content, the combination of Perceptive and Datawatch extends these capabilities to allow retrieved content to be transformed into analytical assets. These assets can then be used to develop a wide variety of applications, including visualizations and dashboards using Datawatch's visualization software."
Datawatch and Perceptive will work together to market and sell the combined solution globally. Targeted sectors for the combined offering include financial services, healthcare, public sector, higher education, manufacturing and retail. To accelerate deployments, a library of pre-packaged solutions will be developed to address specific use case or functional requirements for customers. These use cases span areas such as invoice processing, finance & accounting, compliance, HR, billing & collections and admissions.
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 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. See the Whole Story for yourself by downloading the free trial at www.datawatch.com/trial.
Safe Harbor Statement under the Private Securities Litigation Reform Act of 1995
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 Form 10-Q for the quarter ended December 31, 2013. Any forward-looking statements should be considered in light of those factors.
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