Structured Data

Unstructured Data

Unstructured data refers to computerized information which does not have traditional data structure associated with it. Examples of unstructured data include text such as the body of an email or document; excel files, as well as audio and video files.

The Stats

• 80% of corporate data consists of unstructured information (Gartner Group)
• Unstructured Data doubles every three months (Gartner Group)
• Knowledge workers spend as much as 40% of their day looking for and managing this type of data. (Council of CIO’s)

The Challenge – The Solution

People use unstructured data every day. They receive, create, store and retrieve e-mails, spreadsheets and other types of documents. Current technologies used for content search and analysis on unstructured data require tagging such as, adding categories and additional meta-tags. In order to add this meta-information, intervention is required at the user level.

Even if companies were able to enforce a policy that requires users to add meta-information, the challenge is still to bring all this information together in a unified view. Being able to query unstructured and structured data while associating the result with a relevant business object, all in a singular view, provides the real value. This is also the area that presents the biggest challenge.

These challenges (end-user meta-tagging and integrating structured and unstructured data) are non-existent with Novabrain Business Explorer. Users can save documents, emails and other types of unstructured data within Novabrain and the content automatically becomes associated with the meta-data in the business object. The user saves data to a different location, but the task remains identical. The Novabrain solution set further allows the user to query on combined structured and unstructured data sets.