One of the biggest problems with records management is that if you don’t classify documents in a logical and consistent way, you might as well not have records management software. OpenText has taken the pain out of classification by introducing auto-classification that uses OpenText’s content analytics engine.
Records Management, Classification
With increasing amounts of content in the enterprise falling under compliance regulations that makes its preservation not just desirable but also obligatory, the problem of classification keeps getting more difficult.
This is particularly true when most enterprises are using many different kinds of content from different sources that range from social media to email to legacy content, all of which has to be kept just in case the enterprise gets slapped with an e-discovery request.
For enterprises using high volumes of documents and content, then, classification can be a nightmare.
Which is where OpenText’s new Auto-Classification application comes in. It seems like a simple enough idea so it’s surprising that it hasn’t been developed before, but according to James Latham, CMO at OpenText, the move was precipitated by existing clients, who were struggling to implement consistent classification policies.
We now have the industry’s first machine-assisted classification with built-in statistical sampling and quality assurance to ensure that auto-classification is both transparent and defensible. This solution fundamentally changes how digital records are managed,” he said.
While the storage and archiving of records is a big enough job already, increasingly, Latham said, records managers are being asked to manage massive amounts of transitory content because of the potential costs involved if that content can’t be found.
Auto-Classification uses OpenText’s analytics engine to go through documents and codifies language-specific nuances identified by linguistic experts who pushes the boundaries way beyond search, or key word-based text analytics.
It also comes with workbenches for identifying exemplar documents and rules, testing and refining effectiveness and sampling them against a broader set of documents on an ongoing basis.
Auto-Classification works with OpenText Records Management so existing classifications and documents can be used during the tuning process. Auto-Classification is due to be released by the end of this month. If you want to find out more, check out the video.