The Data-Information-Knowledge-Wisdom (“DIKW”) model is a useful for examining how well an organization is doing in deriving value from its unstructured content. In his book, Too Big to Know,* David Weinberger credits Russell Ackoff, a leading organizational theorist, with making a pyramid-shaped depiction of the DIKW model in a 1988 address to the International Society for […]

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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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Using Unstructured Content to Update & Audit Process Management Systems The Need Data elements entered in enterprise process management systems are often taken from and evidenced by supporting documents. For example, in home mortgage loan tracking systems, names of borrowers may initially be taken from original loan applications. As more documents are generated during the loan […]

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Summary: New automated document classification technology enables faster, more comprehensive due diligence for M&A activity and makes it easier to assimilate the documents and files of the acquired entity after the acquisition. For maximum benefits the technology should be used on both the acquiring and the acquired companies’ documents and files. From an acquiring company’s […]

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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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