DataFlux, a provider of data management solutions, and Teradata, a provider of data warehousing and enterprise analytics, today announced a partnership agreement intended to help add data quality technology to Teradata's data warehousing and master data management (MDM) environments.
The joint offering combines Teradata's enterprise intelligence systems with DataFlux data quality technologies, enabling organizations to more effectively manage growing volumes of detailed enterprise data accurately, reliably and consistently. "Any time companies move data - whether into a data warehouse, a new enterprise application or an MDM system - that's the perfect time to address issues of data quality and data integration," Daniel Teachey, senior director of marketing of DataFlux, tells 5 Minute Briefing.
Data warehousing systems collect, organize, and analyze data from many sources to produce an integrated view of detailed information, often for use in real time. With data volumes rising from every direction and companies requiring more detail, quality and accuracy to make process controls more effective, there is a critical need for data warehousing to be powered by high-quality data. The DataFlux-Teradata partnership is intended to improve data integrity by embedding quality-optimizing processes in the data warehouse infrastructure to consolidate, cleanse, match and standardize data across the enterprise.
DataFlux and Teradata are targeting organizations that need to proactively address data quality issues that, if unresolved, will not only require costly resources to correct, but can undermine processes that govern economic performance, including financial analysis, customer relationships and the supply chain, Teachey says. Working together, we'll provide the ability to maintain and manage data through industry-leading technologies, putting consistent, accurate and reliable data at the core of business-critical IT systems," he says.
For more information about DataFlux, go here.
For more information on Teradata, go here.