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Corporate Finance, DeFi, Blockchain News

IBM And Datawatch Transform Enterprise Content Management Systems Into Big Data Analytics

IBM To Resell Solution Globally Through All Channels


Datawatch Corporation (NASDAQ-CM: DWCH) and IBM (NYSE: IBM) today announced the industry's first integrated content management and analytics solution that lets IBM Content Manager OnDemand (CMOD) users gain insight from Big Data trapped within their CMOD systems. The first of its kind, this-self-service analytics solution integrates the Datawatch Report Mining Server (RMS) with IBM CMOD so users can speed regulatory compliance initiatives and perform analytics across vast amounts of historical data. Datawatch RMS will be included on IBM's worldwide price list and available for sale by both IBM direct sales and its global channel partners through Passport Advantage.

Datawatch Report Mining Server (RMS) is a web-based report analytics solution that seamlessly integrates with CMOD to enable clients to perform real-time reporting and analysis on documents stored in their CMOD repository. Users can repurpose existing CMOD repository content for new applications, reporting and visualizations. RMS turns archived documents stored in CMOD into an analytical asset that can provide significant value to an organization, including:
- Transforming an existing content management system into a "search-to-action" Big Data 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 burden by eliminating the demand for ad-hoc reporting, sub-reports, or live database connectivity
- Providing ad-hoc analysis, investigation and auditing capabilities on core corporate data stored in CMOD
- Providing valuable data to incorporate into Datawatch's next generation visual data discovery solutions.

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.

"In today's economy, businesses are challenged with making strategic decisions with trusted data located in disparate areas of their organizations – including content repositories. Datawatch RMS will allow IBM's CMOD 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 Ben Plummer, chief marketing officer and senior vice president of Strategic Alliances for Datawatch.

Datawatch RMS can interface with IBM CMOD via WEBI, ODWEK and IBM Content Navigator. Datawatch and IBM will showcase the integrated solution and the new partnership at IBM's Information OnDemand 2013 customer conference at booth 1022-G November 3-7, 2013 at Mandalay Bay in Las Vegas, Nevada or you can learn more by visiting www.datawatch.com/rms-cmod.

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 datawatch.com/trial

Vendredi 8 Novembre 2013




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