Adaptive Information Access: Deriving Insight from Messy, Real-World Data and Content from Endeca Computing ITHound

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Adaptive Information Access: Deriving Insight from Messy, Real-World Data and Content
by Endeca
Published:November 2006
Format: Portable Document Format (.pdf)( 79.9 KB )
Length: 6 pages
Overview

Several common objections to implementing an information access solution are based on the assumption that data must be managed coherently before it can be retrieved in any systematic fashion. This assumption is based on years of experience that companies have with traditional retrieval systems – such as search, enterprise applications, or business intelligence (BI) solutions. These solutions do not leverage the organization of information and therefore encourage application owners to think of information access as storage-agnostic, an afterthought to address once data is managed properly.

Endeca’s adaptive approach to information access invalidates this notion of how information must be accumulated, managed, and then retrieved in a serial way. By indexing both the content, as well as the underlying structure of the content, Endeca’s patented Information Access Platform is allowing enterprises to build solutions that help users find, analyze, and understand information in ways never before possible, on top of the messy, real-world data that they currently own.