Case Study: Neuftek achieves faster real-time analytics and lower total cost of ownership with OpenText Knowledge Discovery

A OpenText Case Study

Preview of the Neuftek Case Study

OpenText™ IDOL™ enables customers to improve their operations by providing query speeds five times faster than a local competitor and reducing report generation time and manual effort by 50 percent

Neuftek, a small technology company focused on community media observation and real-time analytics, needed a stable, scalable way to consolidate and search large volumes of unstructured, multilingual data. It chose OpenText Knowledge Discovery [IDOL] over Solr/Lucene and IBM Watson to support fast query performance, low maintenance, and easy deployment without customization.

OpenText implemented a platform that indexes up to 250 million documents, supports text, Boolean, and conceptual search, and handles multiple languages including Chinese. The results were significant: customers cut report generation time and manual effort by 50%, one research team was reduced from 30 people to 15, and another company shortened research time by four to eight hours with one employee handling all research. Neuftek also reported the platform is five times faster than a local competitor and helps keep total cost of ownership low.


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Neuftek

Vincent Chang

General Manager


OpenText

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