Claims to improve accuracy, reduce data movement and streamline analytic processes
Business analytics software and services provider SAS said that it plans to integrate its business analytics framework into many relational and nonrelational database management systems, as well as data warehouse appliances, which accelerates transformation, scoring and analysis.
Keith Collins, senior vice president and CTO of SAS, said: “Capitalising on the power of predictive analytics at the point of transaction and data transformation is a sweet spot for customers seeking faster, more accurate business decisions. Tapping the database for operational analytics significantly reduces bottlenecks resulting from moving data over a network. Customers gain quicker access to the predictive results they need to compete effectively.”
The company said that it plans to integrate business analytics into multiple platforms of Teradata, Netezza, IBM, HP, Aster Data and GreenPlum.
SAS claims that the integration will improve accuracy, reduce data movement and streamline analytic processes. It provides decision makers with access to analytical results and accurate decisions that comply with governance requirements.
Dan Vesset, program vice president for business analytics research at IDC, said: SAS is stating its commitment to making in-database analytics more pervasive, enabling any customer regardless of their database engine to leverage SAS Business Analytics to improve the speed and accuracy of decision making throughout the organisation.