Vizier™ Finder for Documents and Databases

You’re responding to an RFP with a tight deadline and you’re having trouble finding the documents you need to pull your proposal together. Perhaps you’re an attorney preparing a case and finding the reference documents is a challenge. Or, you spend all day searching your database, but if you make a data entry error, your software can’t find the record you’re looking for.

Finding the exact document or record you need can be a time-consuming proposition! Vizier™ Finder is an intelligent tool that – in one interface – allows users to find documents on the desktop and network and records in your databases in seconds. Our fuzzy search capability is so accurate, even if you juxtapose letters or omit a number from a zip code, Vizier™ still produces exact results, saving time and resources.

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Vizier™ Finder for Application Developers

Vizier™ Finder offers developers a quick way to develop operational code. In place of writing a set of select statements to perform retrieval functions from the database, a developer need only make a call to an API that will do all of the work for the developer. The SQL code generated will perform the retrieval as fast, or faster, than the developer can by manual means. This means that the developer can focus on other critical parts of the software, such as management of the business rules or enhancement of GUI functionality. Vizier™ middleware will ultimately allow developers to be more productive, saving time and resources.

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Data Recognition Solutions

Cylab's data recognition software supports a number of applications, including searching, matching records, and preventing data duplication. Our search software can be used against any data model, relational database vendor, and any data type. It brings with it the ability to perform inexact matches against your database, which means it can retrieve all sorts of records that your searches with standard SQL logic just can’t find.

In addition to searching, our software can perform matches between two or more separate data sets. Usually, the solution for this type of problem is often limited to an exact match, but our solution performs searches on unstructured data, making it easier to match records with varying data.

For systems that have multiple data entry personnel, duplicate records can be particularly problematic. If the data entry is off by only one character, the application will happily accept the record as a ‘new’ one. Our data recognition capability can be invoked during the record creation process, ensuring that duplicate records become a thing of the past.

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