Unstructured Data Management

Written by Yvette Dubel
Bookmark and Share

Unstructured data management is required to transform unstructured text into information that can be acted upon. This is a concern in both commercial and government organizations. The right tools allow an organization to utilize all of its valuable information.

Solutions must extract valuable intelligence from unstructured content and enable supplementation of existing structured data. Unstructured data management makes it possible to bridge data analysis and human insight. It assists organizations by enhancing the decision-making arsenal.

What does this mean for prior IT investments? It requires that emerging data management solutions maximize system integration. At the same time, it will have to increase system flexibility to address intelligence demands from one department to another throughout the enterprise.

Excavating for Value

At the heart of unstructured data management is the demand to automatically refine, construct, and optimize taxonomies. It must also do so seamlessly with the highest degree of accuracy. All types of data need to be accessible to the selected data management application to make the best evaluation of its value in relation to its lifecycle.

Automating parts of the process for organizing information based on the innate document structure creates an intuitive taxonomy tailored for your business. This feature could be very helpful in regard to considering industry standards or third party file servers.

New solutions for unstructured data management will continue to reflect a rapidly changing business climate. Automation will continue to advance optimization of taxonomies and models. Users will find themselves even better equipped to leverage business critical intelligence more efficiently.


Bookmark and Share