Document attributes provide ways to find and navigate among documents of interest. In fact, one of the biggest challenges in e-discovery and content management is to assign the best classifications and attributes to documents in a collection. Here is a checklist of where to look for different types of attributes: Within the Files Themselves, Either […]

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The central theme of David Weinberger’s book Everything is Miscellaneous* is that no single method of classification serves all purposes, and it is a concept worth considering when designing classification schemes for enterprise content management (“ECM”). One example of a classification scheme that he uses is the well-known periodic table which arranges basic elements in […]

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One of the biggest challenges in information governance is determining exactly how to manage unstructured content sitting on file shares and ECM systems. Here are some goals to consider when deciding how to deal with such unstructured content: 1. Raise Awareness. The system should provide managers with an awareness of the type and number of unstructured […]

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The three most important criteria by which to judge file or document classification and coding systems are Consistency Consistency & Consistency The reason is pretty obvious: without consistency a file classification scheme cannot deliver any of the promised downstream benefits, things like enhanced retrievability, selection of appropriate retention schedules, and setting appropriate security access permissions […]

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All information governance and e-discovery tasks are dependent on first being able to accurately inventory and collect the files. Windows, however, has a serious limitation that can keep organizations from being able to do that: paths (including file names) can have no more than 260 characters. Files on longer paths are essentially lost or invisible. They may never be […]

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Gartner’s Market Guide for File Analysis Software, just released August 4, 2015, features BeyondRecognition along with other 25 other providers. BeyondRecognition is the only provider that classifies documents based on their visual appearance, not on a text-based analysis. The Guide, written by Alan Dayley, Debra Logan, Jie Zhang, and Garth Landers identifies the key use cases for […]

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In simplest terms, information security involves identifying and protecting information that could somehow damage an organization legally or competitively if it were misused. Achieving those objectives in unstructured content is far easier if the organization first classifies documents by document type and evaluates the types and levels of risk associated with each type. Once that […]

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“Unstructured” content is a term used to describe content stored on file shares, personal computing devices, and content management systems. A major challenge to making effective use of such content is that words can have multiple meanings, and a name can refer to more than one person. Even worse, there can be multiple forms of […]

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Text analytics does some remarkable things with what it’s able to see, but in one critical aspect it is a giant leap backwards to the days of telegraphs and stock ticker tapes when information was delivered on continuous strips of paper with just numbers, letters, and basic punctuation printed on them. In those days, the […]

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All document-related information governance initiatives rest on and depend upon consistent, comprehensive document classification. Without consistent, comprehensive classification, an organization can’t determine what to keep, how long to keep it, who should have access to it, and where to store it. For that reason, large organizations look to “auto-classification” to obtain the needed consistency at the […]

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The BeyondRecognition Network

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