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From unstructured data, BI flows

This article appears in the issue February 2003 [Volume 12, Issue 2]

User stories from the knowledge front

Extracting competitive and business intelligence from vast and varied data repositories is crucial to Eastman Chemical, so it has turned to software from ClearForest for help managing its unstructured data.

Eastman manufactures and markets more than 1,200 chemicals, fibers and plastics products worldwide. To bring those products to market, the company's researchers and marketers must analyze multiple news feeds and huge amounts of intellectual property enterprisewide, according to a recent news release. The company wanted to be able to analyze intellectual property and competitive information from multiple sources as quickly as possible. Therefore, it sought a robust solution that could automate the time- and labor-intensive task of handling that data, as well as streamline its business decision processes and optimize its licensing opportunities.

Eastman Chemical officials decided that ClearResearch and Clear Lab tools from ClearForest offered the comprehensive solution they needed.

"By taking advantage of this solution," says Bill Phillips, director of technology services for Eastman, "Eastman will be able to quickly extract critical information from multiple news and other sources, translating into significant time and cost savings."

ClearForest's software is said to operate across multiple industries to intelligently tag, analyze and deliver business intelligence from large document collections. Hybrid intelligent tagging reads content from any source, and through semantic, statistical and structural analysis, identifies concepts, facts and events, creating an enhanced content base, ClearForest says


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