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Melissa Data Announces Search Technology


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Melissa Data, a provider of data quality and data enrichment solutions, in partnership with SpeedTrack Inc., has announced the availability of SpeedTrack, a technology offering a new approach to storage, access, and analysis of data. Powered by SpeedTrack's Guided Information Access Platform (GIA), users are guided to what they are looking for simply by selecting from the unique words, characters, and values contained in the data in order to provide more accurate search results and give contextually relevant search answers. SpeedTrack applications work with any type of stored data including relational databases, text, email, PDF, Microsoft Office documents, and legacy databases.

SpeedTrack, Inc. is a provider of information access technologies and has been in business since 1999. Its GIA platform improves information access for GPS navigation devices, business intelligence solutions, eDiscovery, and search applications. SpeedTrack's technology works differently than traditional relational databases that simply store and index data. Rather than just storing data, SpeedTrack stores all the associations between the data and what it describes. By capturing the associations, SpeedTrack enables users to quickly find and retrieve answers contained in the data-turning data into actionable information.

Greg Brown, director of marketing for Melissa Data, tells 5 Minute Briefing that "Melissa Data is reselling the SpeedTrack technology and also providing the marketing activities. SpeedTrack provides both a database storage technology and a front-end GUI that users interact with to do their searches. As users develop search criteria, the option choices change and show the data associations for the search parameters that have already been specified. In this way, users can refine their searches as they drill deeper into the detail. SpeedTrack is also ideal for mining legacy data; the data can be exported into the SpeedTrack repository as a text file and does not need to be structured into pre-defined data architectures."

For more information, go here.


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