Case Study: Automated Document Classification Saves Time & Resources
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The Situation
One of the largest electronics companies produced a large repository of Work Instruction and Knowledge Documents spanning across multiple internal functions like Finance, Supply Chain Management, Marketing and Sales and other Customer Service functions.
These large number of documents were published in multiple digital formats of MS Word, PDF and PPTs.
This repository of documents had to be categorized for ease of access across digital platforms and organized archival.
What Data Semantics Implemented?
The electronics giant had more than 10,000 documents identified, sorted and clustered within a few weeks. The document archives are ready to be easily accessible via multiple digital platforms, well ahead of the expected timeline.