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CASE STUDIES
Large Financial Institution CASE STUDIES
CCAASSEE SSTTUUD DIIEESS
CASE STUDIES
A large financial institution used a number of different commercial search technologies in different departments. With incompatible islands of information throughout the corporation, they needed a search technology that could CASE CASE CASE CASE provide capabilities to enable S T U D I E Sa platform S Tfor U D Iadvanced ES STUDIES S T U users D I E S to find the most relevant content. They also needed to deliver search results from other repositories of content in a single integrated result list. They selected the FAST Enterprise Search Platform (ESP) because it let them extract important metadata even from unstructured content and deliver results presented with faceted navigation that lets users explore content by category. FAST ESP also allowed the company to assign responsibility for managing specific sections of their intranet to different business owners, which freed central IT resources for the business of running their infrastructure. Users: 20,000 (employees) Queries: Licensed for 10QPS (peak) Content: 2.5M documents/web pages, 50 locations worldwide
CASE STUDIES
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Legal “War-room”, eDiscovery service
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CASE STUDIES
CASE STUDIES
CASE STUDIES
CASE STUDIES
CASE STUDIES
CASE STUDIES
CASE STUDIES
Another company was in the business of providing a hosted application that allowed its thousands of customers to research, evaluate, and tag important content for senior principal review. They saw that they would soon have more CASE STUDIES documents than their existing search technology would support, and they needed a technology that could meet their data volume needs, index updated content with minimum latency, provide predictable scalability, and insure the best possible up time. They chose FAST Enterprise Search Platform (ESP) because of the highly scalable architecture, and because FAST ESP was able to meet their requirements of high availability, low indexing latency, powerful entity extraction and Unicode language support. They also took advantage of the FAST ESP indexing architecture that provided the ability to add external ‘look-aside’ content to each document with minimum effort. Users: 10s of thousands Queries: Over 100 QPS (peak) Content: varies, to 100M documents”
CASE STUDIES