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

The challenge was to rapidly analyze and dig deep into vast amounts of online financial information to monitor public opinion, receive early warnings, and perform positive and negative business analysis.

China’s securities industry has entered the Big Data era. With vast amounts of financial information posted online, there are ample opportunities to monitor public opinion, receive early warnings and perform positive and negative business analysis. Financial service institutions have to be able to rapidly analyze and dig deeper into this data.

Faced with the massive amount of news material and documents submitted by listed companies, improving the efficiency of information processing was proving a headache. Furthermore, this information does not just include structured data from the website news pages and various data sources within the company. It also covers a wide range of unstructured information, including text, audio and video from various social media forums, blogs, message boards and messaging applications. The daily volume of queries can reach one million. Without a unified data processing platform, information retrieval was difficult.

A data processing system that would meet those requirements needed to be able to automatically crawl and process the data from Xi’an Panorama Data’s various internal data sources, as well as various structured and unstructured information on Panorama Network It needed to be able to understand the information using conceptual and contextual semantic association. OpenText IDOL allows the user to find pattern and concept matches, and is able to automatically link these to the relevant accurate information across text, audio, and video from various media.

IDOL is able to automatically analyze and sort any amount or type of data with great accuracy and speed. It is able to classify data into logically similar concept clusters on the basis of associated or similar themes, automate the originally daunting task of searching through various data source sites, and increase productivity.

Read full story