SAS named leader in magic quadrant for data integration tools

MUMBAI, INDIA: SAS, the leader in business analytics software and services, has been positioned in the Leaders quadrant in Gartner Inc.'s latest "Magic Quadrant for Data Integration Tools".

Gartner evaluated SAS on functionality, integration capabilities, global market presence and product road map. SAS Data Integration technologies meet the full spectrum of enterprise data integration needs with data access, ETL and ELT, data quality, data governance and an interactive data integration development environment.

"Leaders have significant mind share in the market, and resources skilled in their tools are readily available," Gartner stated in the report. "These vendors establish market trends, to a large degree, by providing new functional capabilities in their products, and by identifying new types of business problems to which data integration tools can bring significant value."

"SAS customers know we provide the industry's best support with unmatched data integration knowledge and domain expertise," said Jim Davis, senior VP and CMO, SAS. "We work to understand evolving data management needs and translate those into new products and services."

Sudipta K. Sen, regional firector - South East Asia, CEO and MD - SAS Institute (India), said: "Data integration tools play a pivotal role in helping organisations efficiently manage big data.SAS Data Integration provides a comprehensive solution that enables organisations to collect, manage and integrate data from disparate sources, delivering accurate information.It's indeed an achievement to be consistently recognised as a leader in the Magic Quadrant."

Strong data management capabilities combined with a focus on emerging technologies, such as big data and cloud computing, make SAS Data Management a complete solution for data integration, quality and governance among leading organisations across industries. SAS Data Management also delivers master data management and federation capabilities to align even more closely to the converging data management landscape.