Handling Explosive Data Growth

Enterprises of all sizes and in all verticals are drowning in data.  By many accounts, enterprise information growth is averaging 50-100% year over year, with unstructured enterprise information alone growing at a rate of 100-200% per year. Furthermore, email archives only make the problem worse by providing yet another repository into which massive amounts of data are dumped with little or no organization or categorization of any sort.  The result: most enterprises find themselves sitting on a rapidly growing mountain of data, not knowing what information should be kept - for business, records management, compliance or eDiscovery purposes - and what information can be retired.

By using sophisticated software that automates the classification of information into various categories, however, enterprises can alleviate this problem quickly and accurately.  And the savings from such an effort can be tremendous, in lower storage costs, data center costs, and eDiscovery costs to name just a few.

Automated, Accurate Classification Based on Content

Recommind brings the power of automated classification to enterprises with large, dynamic information collections where information processing is costly and time consuming. The CORE (Context Optimized Relevancy Engine) platform's classification technology is powerful and automated, yet configurable to provide the most control with the least amount of manual effort.

With these powerful classification tools, organizations can reduce the time and effort needed to organize, route and distribute information. The CORE platform enables automated or semi-automated operation, providing content experts with both control and efficiency.

Click here to learn more about Decisiv Categorization, built on the CORE platform.