Case Study: Xi’an Panorama Data improves query retrieval efficiency with OpenText Knowledge Discovery

A OpenText Case Study

Preview of the Xi’an Panorama Data Case Study

To ensure the integrity of the information it provides, Xi’an Panorama Data uses the information analytics platform, OpenText IDOL (Intelligent Data Operating Layer)

Xi’an Panorama Data, a media and public opinion monitoring company, needed a more reliable and intelligent data processing platform after its open source system struggled with poor information retrieval and stability. It wanted better search, automatic classification, support for text, audio, video, and other unstructured data, and the ability to scale without adding staff, using OpenText Knowledge Discovery.

OpenText Knowledge Discovery [IDOL] was implemented to automatically crawl, analyze, classify, and retrieve data across multiple sources with semantic search, fuzzy search, and distributed processing. With OpenText, Xi’an Panorama Data improved query efficiency, reached up to 2,000 queries per second with sub-second response times, reduced operating costs, and gained faster access to accurate business information for reporting, trend analysis, and public opinion monitoring.


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Xi’an Panorama Data

Zhou Qing

Research and Development Engineer


OpenText

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