Discovering Unstructured Data

Automated, cost-effective data discovery

Digital Reef scans through the entire body of an enterprise’s data and automatically organizes the results into an easy-to-use folder structure that provides a fully transparent look into unstructured data assets.

No need to create costly, static, inaccurate taxonomies; perform tedious manual tagging; or train the system. Digital Reef automatically determines the natural organization of the data based on the reality of the data that exists in the enterprise.

Digital Reef also discovers content by example or similarity. Users are not restricted to guessing what combination of words might yield relevant search results. They present a document, a set of documents, or a document excerpt, then command the system to find similar documents.  And, Digital Reef reconstructs email threads and identifies patterns (like credit card and social security numbers), while identifying exact and near duplicates to streamline review processes.

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How does Digital Reef do it?

With a unique SIMILARITY ENGINE that takes users miles beyond search, Digital Reef:

  • Scans through the entire body of an organization's data and determines which files are similar in content, metadata, and structure.
  • Uses a document, document extract, or set of documents to find other documents that are similar.
  • Organizes and classifies entire bodies of data by determining the natural organization of the information.
  • Groups similar documents together and indicates the reason for the grouping is clearly indicated
  • Creates data organization organically, without requiring pre-determined taxonomies or system training.
  • And, provides users the ability to take action on data under examination. Documents can be copied, moved, transformed, and deleted based on prescribed business policies.
     

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 What is Unstructured Data Management?