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Recommind Powers Proactive Information Management With Automated Categorization Solution

MindServer Categorization Helps Enterprises Dramatically Reduce the Information Risks and Costs Associated With Records Management, eDiscovery and Data Storage


SAN FRANCISCO--(BUSINESS WIRE)--Recommind, the leader in search-powered Information Risk Management (IRM) software, today announced the immediate availability of MindServer?? Categorization, a unique, automated approach to proactive information management. MindServer Categorization helps large enterprises reduce storage, data center and eDiscovery costs by automatically categorizing and tagging both legacy data and new data as it is created, making information easier to identify, use, manage and delete. With regulatory scrutiny becoming increasingly stringent and the costs associated with eDiscovery and data storage continuing to rise, more and more enterprises are seeking an automated approach to organizing, categorizing and managing data. MindServer Categorization alleviates these challenges by enabling enterprises to leverage sophisticated technology to quickly and cost-effectively determine which data should be kept and which can be deleted in order to lower information risk.

It has been estimated that the amount of information created by an enterprise is growing at an annual rate of 50-100%, with unstructured data (e.g. email, file share data, Web 2.0 applications, etc.) increasing by 100-200%. The challenges, costs and information risks associated with managing this data are greatly exacerbated by the fact that most enterprises simply do not know what information should be kept for business, records management, compliance or eDiscovery purposes. In addition to directly addressing these challenges, MindServer Categorization also helps enterprises maximize their existing investments in enterprise-wide content management systems such as Microsoft SharePoint. With MindServer Categorization, enterprises can cleanse and categorize data before it is entered in SharePoint, making information far more usable and actionable across the organization.

"MindServer Categorization plays a vital role at Handelsblatt helping organize highly dynamic content, automatically," said Martin Steinbach, Head of Archiving at Handelsblatt. "Handelsblatt uses MindServer Categorization to automatically categorize and structure both legacy and newly created content from myriad internal and external sources. MindServer Categorization classifies large volumes of data even more accurately than human experts, in the process making such data easily accessible. It actually understands the meaning of a given document rather than simply matching keywords. And of course it's much faster than human experts on their own. We can now automatically classify thousands of newly-created documents every day. Simply put, MindServer Categorization has enabled us to greatly improve the speed and the quality of our information management."

By adding MindServer Categorization to its award-winning eDiscovery applications, Insite Legal Hold and Axcelerate eDiscovery, Recommind now offers the industry's first and only end-to-end eDiscovery platform. This integrated solution enables enterprises to be more proactive about reducing information risk, helping to close the myriad exposure points created by overflowing and unmanaged data stores and point solutions deployed to reactively manage them. The latest advancement in Recommind's mission to help enterprises convert their data from a liability into a competitive advantage, MindServer Categorization represents a significant step forward in automated, proactive information management.

MindServer Categorization works by actively crawling data from a multitude of sources including document management systems, intranets, web sites, CRM applications, databases and file systems, or by receiving direct information feeds such as a newswire. Based on the data's content, documents are associated with one or more categories or taxonomies such as topics, geographic locations, document types, industries and language. This is done using an automated categorization technology in tandem with a user-defined rules-based process. As documents change and new documents are added, MindServer Categorization incrementally categorizes, stores or distributes them according to the rules defined by the administrator.

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