DataFlux Builds Data Quality into Data Integration with Version 7.0 Release; Award-Winning Design Environment, High-Performance Server Build Unified View of the Enterprise

Business Wire, May 2, 2005

CARY, N.C. -- DataFlux, a leading provider of data quality integration solutions, today announced the general availability of Version 7.0 of the DataFlux(R) Data Quality Integration Solution, a platform designed to enhance the visibility and viability of data quality standards and practices throughout the enterprise. The Data Quality Integration Solution is designed to accurately discover, integrate and manage business-critical information across multiple data sources.

For years, organizations have struggled with a disparate network of applications and databases across divisions and business units. To build a single, unified view of enterprise information - such as customer, product, supply chain or finance data - companies must build and propagate standards for data quality across any system that collects and manages that information. These business rules - for name and address standardization, product code classifications, identity matching, etc. - serve as the logic that can improve the overall level of data quality within an organization.

The DataFlux Data Quality Integration Solution allows business users to discover and resolve data quality issues and then implement that business logic through high performance batch processing, real-time transaction process or on-demand service-oriented architecture (SOA). The SOA environment reduces the time and resources required to embed data quality processes across the IT infrastructure, as the standards-based protocols streamline integration with enterprise applications or data sources.

"DataFlux has witnessed an impressive shift in the data quality marketplace, as companies go from departmental implementations to more dramatic enterprisewide initiatives," said Tony Fisher, president and general manager of DataFlux. "Data quality is now a corporate priority, and organizations need the tools to support these initiatives. Version 7.0 provides a platform to support enterprise data integration projects, giving users the ability to create complex workflows for data quality logic and integrate these processes within the enterprise applications already in place."

"Since its inception, DataFlux has focused on providing tools for the business professionals who are responsible for the overall quality of an enterprise's data," said Robert Lerner, senior analyst for Current Analysis. "Version 7.0 extends that commitment with a number of features that allow the end user to create complex data quality workflows in an intuitive environment - and then immediately implement those business rules in real time via the standards-based architecture."

Building a unified view of the enterprise

The Data Quality Integration Solution features DataFlux dfPower(R) Studio, an award-winning GUI-based design environment that allows business and IT users to build business processes to inspect, correct, integrate, enhance and monitor data. The Version 7.0 release of dfPower Studio features enhancements designed to allow data stewards or business analysts to take more control of the data quality process.

dfPower Studio can be used to design workflows and establish rules for ensuring that enterprise data meets established business requirements. Once these rules and workflows are established, the DataFlux Integration Server provides a high-performance platform for implementing these data quality processes - in batch, on demand and in real-time environments. Companies can employ the batch processing mode to correct, standardize and verify existing data and use the real-time or on-demand capabilities to enforce the same business rules for data quality on an ongoing basis.

The DataFlux Integration Server allows for the complete reuse of data quality processes, placing business rules in a "hub" server as real-time services. Services can be designed visually by business analysts in dfPower Studio and then implemented within applications, drastically reducing the time required to deploy enterprise-class data quality and integration services in a heterogeneous IT environment.

"A majority of DataFlux customers are now using our technology to do things outside of the traditional scope of data quality, such as regulatory compliance, legacy data migration and customer data integration," said Scott Gidley, founder and CTO of DataFlux. "Version 7.0 represents our commitment to provide the industry's best platform for solving the most complex data quality and data integration challenges faced by organizations today."

About DataFlux

DataFlux enables organizations to analyze, improve and control their data through an integrated technology platform. Through its enterprise data quality integration solutions, companies can build a solid information foundation that delivers a unified view of customer, product or supplier data. A wholly owned subsidiary of SAS (www.sas.com), DataFlux helps customers enhance the effectiveness of their data-driven initiatives, including customer data integration (CDI), enterprise resource planning (ERP), legacy data migration and compliance. To learn more about DataFlux, visit www.dataflux.com.