WATERLOO, ON Jan. 25 National Research Council Canada
National Research Council Canada Eugene Roman
Businesses and governments are increasingly engaging with workers, partners and customers across a range of electronic and social media to collaborate, find new ideas, measure sentiment, identify important trends and predict future outcomes based on content analytics. With added content analytics capabilities incorporated into the OpenText ECM Suite, businesses will gain more value from their content through improved data mining and analysis.
"Analysis of information, which can be described as a mixture of social and enterprise content managed in silos, is critical in order to provide valuable, actionable business insight," Roman explained. "With this solution, businesses will have the ability to source increasingly precise responses related to specific business questions which can save them time and money."
National Research Council Canada
Certain statements in this press release may contain words considered forward-looking statements or information under applicable securities laws. These statements are based on Open Text’s current expectations, estimates, forecasts and projections about the operating environment, economies and markets in which the company operates. These statements are subject to important assumptions, risks and uncertainties that are difficult to predict, and the actual outcome may be materially different. Open Text’s assumptions, although considered reasonable by the company at the date of this press release, may prove to be inaccurate and consequently its actual results could differ materially from the expectations set out herein. For additional information with respect to risks and other factors which could occur, see Open Text’s Annual Report on Form 10-K, Quarterly Reports on Form 10-Q and other securities filings with the SEC and other securities regulators. Unless otherwise required by applicable securities laws, Open Text disclaims any intention or obligations to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise.
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SOURCE Open Text Corporation