Asset Aggregation, Research & Assembly

Multiple sources of content, one repository

Large organizations are inundated with content. In order to turn this content into assets it is essential to organize and centralize it, so it can be found understood and analyzed macroscopically.

Nstein semantically enriches content thus increasing its visibility and findability; it is then organized and centralized automatically so it can be retrieved easily via search. By labeling the attributes of each piece of content, information can be sorted and collected according to a variety of parameters. Researchers may ingest internal content as well as content from external RSS feeds. The productivity boost is immense!

Having this understanding of content allows the identification of gems in archives. By noting similarity or concentrations of topics one can minimize intellectual waste, facilitate cross-departmental collaboration and sharing and quickly package/assemble that content to react to market needs, rendering new product development (and ultimately content monetization) easier than ever. One may discover that they have several thousands of pieces of content on one particular subject. That information can be turned into a dedicated microsite on a dime.

Leveraging Nstein’s DAM and TME products, Reader’s Digest was able to ingest an XML representation of content in a central repository, semantically tag it and properly categorize it. Reader’s Digest now has access to its content in all its depth no matter where a particular piece of content might reside, nor what format it is in. Doing so, the media giant is now able to create new products on the fly with minimum effort on the part of its staff, and find new revenue streams from its existing content assets.

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