OpenText Corporation, the pre-eminent provider of enterprise content management (ECM) software, today announced OpenText Auto-Classification, the first automated classification application with built-in transparency and defensibility that will give organisations a powerful way to manage the retention and disposition of high-volume, low-touch content such as social media, e-mail, office documents and legacy content, to reduce legal risk and eDiscovery costs.
“When we talk to our customers about auto-classification technology, their biggest misgivings are, 'how do we do it consistently for all content and how do we prove it?' OpenText Auto-Classification has been designed from the ground up to address these problems,” commented James Latham, Chief Marketing Officer at OpenText. “We now have the industry's first machine-assisted classification with built-in statistical sampling and quality assurance to ensure that auto-classification is both transparent and defensible. This solution fundamentally changes how digital records are managed.”
Business and records managers must govern the classification, use, retention, protection, retrieval, and ultimately, the disposal of 'business records'. Increasingly, however, they're being asked to manage massive volumes of 'transitory' or low-value social content and e-mails due to their cost and potential risk. Classification of content is critical because it lets the business know what content to keep and what can be thrown away. Historically, end-users have been asked to classify content, but adoption and accuracy rates have been low, often leaving the organisation exposed to expensive eDiscovery requests and penalties.
OpenText Auto-Classification provides consistent, defensible classification of content without end-user intervention after the system has been set up. It uses the OpenText Content Analytics engine to 'read' through each document, e-mail or social media posting to classify content according to corporate policy and legal requirements. In contrast to search or keyword-based text analytics, OpenText Content Analytics codifies language-specific nuances identified by teams of linguistics experts to dramatically improve accuracy.
Going a significant step beyond 'black box' classification systems, Open Text Auto-Classification includes workbenches for identifying exemplar documents and rules, testing and refining effectiveness and quality assurance, and sampling against a broader set of documents on an ongoing basis. This gives organisations the level of transparency they need to continually adapt the auto-classification engine to their changing needs and to prove to the courts and regulators that the organisation maintains an effective records management programme.
OpenText Auto-Classification was developed in close partnership with customers using the OpenText ECM Suite. It works in conjunction with OpenText Records Management so that existing classifications and classified documents can be used in the tuning process. Among the customers participating in the testing process was Translink, the regional transportation authority for Metro Vancouver, British Columbia.
“By participating in the beta program, we were able to play a part in the development of the auto-classification for records management product,” added Noella Bordian, Manager, Corporate Records for Translink. “Not only will this product improve and increase the use of our classification system and retention schedules, but it will also make it easier to identify content for eDiscovery, archiving and disposition.”
For further information, please contact Rob Shaw: tel: (+27) 83 626 3811, fax: (+27) 86 646 4178, e-mail rshaw@opentext.com.
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OpenText, a global ECM leader, helps organisations manage and gain the true value of their business content. OpenText brings two decades of expertise supporting 100 million users in 114 countries. Working with its customers and partners, OpenText brings together leading content experts to help organisations capture and preserve corporate memory, increase brand equity, automate processes, mitigate risk, manage compliance and improve competitiveness. For more information, visit www.opentext.com.
Certain statements in this press release may contain words considered forward-looking statements or information under applicable securities laws. These statements are based on OpenText'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. OpenText'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 that could occur, see OpenText'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, OpenText disclaims any intention or obligations to update or revise any forward-looking statements, whether as a result of new information, future events or otherwise.
In Southern Africa, OpenText's business partners are Business Connexion, Datacentrix, eTechnologies, iFuture Consulting, NokusaEI and SAP Africa; and its customer base includes organisations from across both the private and public sectors such as Absa, Anglo Platinum, BMW, Department of Environmental Affairs, Department of Tourism, Distell, Engen, Exxaro Resources, Mittal Steel, Nedbank, Office of the President, Provincial Government of the Western Cape, SABMiller, Sasol, Standard Bank, Telkom SA and Toyota.
Copyright (c) 2011 by OpenText Corporation. OpenText, OpenText Auto-Classification and OpenText ECO suite are a trademark or registered trademark of OpenText Corporation in the United States of America, Canada, the European Union and/or other countries. This list of trademarks is not exhaustive. Other trademarks, registered trademarks, product names, company names, brands and service names mentioned herein are property of OpenText Corporation or other respective owners.
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