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Dangers in the Digital Enterprise
"Never write when you can talk. Never talk when you can nod. And never put anything in an email."
Information Week, 2007
An enterprise's information management objective is to maximize the business value derived from information while reducing the inherent risks and costs. Bottom line: enterprises must intelligently maintain, analyze, process, review, and produce large amounts of data.
Meaning
Disparate forms of communication like email, IM, audio recordings, web-based seminars and video conferencing litter the workplace in an effort to enhance communication and collaboration. The side-effect, however, is a fragmentation in the way information is managed, monitored, captured and stored. Most monitoring systems focus on structured data and at best, a fractional percentage of unstructured information types and sources. Few technologies can focus on both information types and even fewer can scale to address the volume.
Unstructured information is at least as much about content and context as form. It is the meaning of information which is as important as its form alone.
Most software products fail to define the meaning of information because they are solely reliant on identifying a 'keyword.' Keywords, only when combined with the context of non-linear 'concepts' found in meaning, present enterprises with tools designed to assess exposure.
"While keyword search technology is easy to understand and more effective than a page-by-page review of all data, it is a rudimentary tool. Concept search technology merits careful attention as it develops into products that will further transform the review of electronically stored information.
Jeffrey Gross, Senior Associate, Cooley Godward Kronish LLP
This Overview provides insight into Autonomy's technology, architecture, and breadth of solutions within the compliance, risk, and litigation management arenas...
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Autonomy Group Customers
