Showing posts with label data quality. Show all posts
Showing posts with label data quality. Show all posts

Friday, July 15, 2011

Vision for the Future: The Evolution of the Data Integration Market - http://bit.ly/qY0RFx

One of the major challenges organizations face today is how to bridge applications together in a way that enables true data mobility - integrating critical information across different business functions such as HR, sales, accounting, and customer support, so that all they key components of the organization can be preserved and shared among different application systems to drive greater business value.

A newly released video from Queplix™ called Vision for the Future: the Evolution of the Data Integration Market, provides an overview of first, second, and third generation data integration technologies, as well as the emergence of fourth generation, or Next Generation (NGEN), and the capabilities organizations should expect to see in 2012 and 2013. 

The overview points out that, contrary to what most might believe, legacy or first generation ETL (extract, transform, load) technology is still predominantly used for data integration today. Further, many of the early integration cloud vendors are simply hosting 20-year old ETL technology in their one-year old clouds.

In sharp contrast, advanced data virtualization technology is powering third and fourth generation data integration products that represent the next wave. The Next Generation will be driven by a powerful convergence of data integration, management, virtualization, abstraction, persistent servers for  automated data quality and governance, cloud and on-premise systems, virtual master data management and more. With NGEN, organizations will achieve true data mobility.

To learn more, see http://bit.ly/oVVzv1.

Tweet This: Evolution of Data Integration - http://bit.ly/oVVzv1

Follow Queplix on Twitter at: http://www.twitter.com/QueplixCorp

For parties interested in Queplix, data integration, data management, data quality, data virtualization, data integration software, master data management, business intelligence, informatica

Wednesday, July 13, 2011

Automating Data Quality: A Template for Data Integration - http://bit.ly/qY0RFx

Keeping data consistent across business functions such as marketing and customer support is essential for the vitality of today's organizations. But when companies need to integrate data between applications, the consistency of data, or data quality, becomes an issue. Basic problems such as null fields, duplicate records, syntax problems, range problems and more, impact data quality and with multiple application sources and master data management, it becomes a complex and expensive problem to solve.

In this video <http://bit.ly/qY0RFx>, Michael Zuckerman, chief marketing officer for Queplix™ Corp <http://www.queplix.com/>., outlines a template for data integration that involves automating data quality processes. This step by step template discusses the essentials of data quality - measurement and review, reporting and remediation, data governance, and data normalization and alignment, whether integrating two data sources or many. A highly automated approach <http://www.queplix.com/products/architecture.html> delivers a faster, easier method to maintaining data quality, reducing risk, and improved results.

To learn more, see http://bit.ly/qY0RFx.

Tweet This: Automating Data Quality - http://bit.ly/qY0RFx

Follow Queplix on Twitter at: http://www.twitter.com/QueplixCorp

For parties interested in Queplix, data integration, data management, data quality, data virtualization, data integration software, master data management, business intelligence, informatica