DataFlux Simplifies the Management of Complex Data with Version 8.1 Platform

Release date: 6/18/2008

New technology release provides automated data type discovery to speed data quality efforts on product, inventory, item and other non-customer data sets.

CARY, N.C. (June 18, 2008) —DataFlux, a leading provider of data quality and data integration solutions, announced today the release of version 8.1 of its core Data Quality Integration Platform, the award-winning product suite designed to allow companies to rapidly analyze, improve and control the quality of their data. Among its enhancements, version 8.1 provides innovative technology that enhances a user’s ability to automatically evaluate the semantics within the data – and use this knowledge to build detailed data quality routines to manage data in the future.

For data domains such as product, inventory, asset, location or financial information, the characteristics of this data can vary across industries, companies and even within departments or business units. Organizations have typically resolved these problems through arduous, code-level data quality efforts – or manual intervention that often led to the introduction of more errors. With DataFlux’s ability to discover and define semantic meanings in a record’s name or description, companies can more rapidly assess the quality of this information, and more importantly, begin to design the rules necessary to standardize, normalize and validate this information.

Early adopters of the version 8.1 platform noted a 25-40% reduction in the time required to improve the quality of complex data, including data on products, chemicals and pharmaceutical compounds. Once created and optimized in the dfPower Studio data stewardship environment, these rules are then saved to the DataFlux knowledge base for use in both batch and real-time environments, creating a centralized repository for enterprise best practices in data quality.

“Companies have often turned to the DataFlux platform for the improvement of data domains outside of the traditional customer data realm,” said Scott Gidley, co-founder and CTO of DataFlux. “With the version 8.1 platform, we make that process even easier, by providing an automated way to infer commonalities within the data – and decrease the time required to realize value from a data quality effort.”

Other enhancements available in this release include:

• Optimized performance and scalability enhancements, including multi-threaded processing on the DataFlux Integration Server
• Increased functionality and plug-ins for further integrating DataFlux services into business processes, such as email and FTP functions for job status detection, LDAP integration for managing DataFlux users, and data enrichment transformations for enabling quick-edit address functionality