Datawatch Announces Analytics for EMC’s Documentum Content Repository

Chelmsford, Mass.—January 14, 2014—Datawatch Corporation (NASDAQ-CM: DWCH), the leading global provider of visual data discovery solutions, today announced the availability of content management analytics which allow users to gain insight from data trapped within reports and documents contained in their EMC Documentum systems. This self-service analytics solution integrates the Datawatch Report Mining Server (RMS) with EMC’s Documentum to speed regulatory compliance initiatives and perform analytics across vast amounts of historical data. Datawatch RMS and the connector to EMC’s Documentum are available immediately from Datawatch.


Datawatch RMS is a web-based report analytics solution that seamlessly integrates with Documentum’s Webtop client application to enable users to perform real-time reporting and analysis of text-based documents stored in their Documentum repository. Users can repurpose existing repository content for new applications, reporting and visualizations. RMS turns archived documents stored in Documentum into an analytical asset that can provide significant value to an organization by:


  • transforming existing content management systems into a “search-to-action” asset;


  • increasing productivity of report users by providing one click transformation of static reports into actionable formats such as Excel spreadsheets and eliminating cut-and-paste and/or rekeying of data into Excel;


  • reducing IT’s burden by eliminating the demand for ad-hoc reporting, sub-reports or live database connectivity; and


  • providing ad-hoc analysis, investigation and auditing capabilities on core data stored in Documentum.


Information can be re-evaluated, organized and integrated to provide a 360-degree view of any type of business issue or opportunity. The result is additional insight for improving business decisions, processes and productivity.


“Many organizations have leveraged Documentum’s ability to store much more than scanned or imaged documents and are using the Webtop client to access computer generated reports, invoices, statements and other business-critical documents. RMS will allow Documentum clients to turn their repositories into virtual warehouses that can be mined for data sets and combined with other information throughout the enterprise to obtain a more holistic view of the business and accelerate decision-making,” said Harvey Gross, vice president and chief technology officer for Datawatch.


In addition to supporting EMC Documentum, Datawatch RMS also supports a host of other content systems including IBM Content Manager OnDemand. Datawatch increases the value of the information surfaced from these content management systems as well as other data sources,


including unstructured sources, traditional data bases and real-time sources by delivering it through a powerful visual data discovery environment. To learn more about Datawatch RMS and the full line of Datawatch software solutions visit us at




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



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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.

Any forward-looking statements should be considered in light of those factors.


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