To help organizations make better decisions with big data, SAS has introduced SAS Decision Manager, which integrates predictive analytics, business rules, and data management. The announcement was made at The Premier Business Leadership Series event in Amsterdam, a business conference presented by SAS.
With SAS Decision Manager, SAS says, the goal is to enable organizations to make sense of big data whether applying analytics to strategic decisions or everyday operational ones, such as credit, fraud risk, next-best offers, pricing and claims approval. By automating parts of decision-making processes, organizations can improve the speed and accuracy of decisions and ensure they are consistent and repeatable.
SAS Decision Manager provides a single, visual interface that integrates business rules, predictive analytic models and optimization with business processes; provides a common decision-making environment; enters decision design around a decision flow that supports analysis, simulation and reporting; and leverages existing SAS High-Performance Computing and big data infrastructure.
"We built SAS Decision Manager on an analytics platform to help organizations manage all their decisions, whether strategic or operational, in a single framework," said Madhu Nair, SAS Senior Manager for Information Management. "SAS Decision Manager delivers a consistent user experience and management environment that supports systems and workers throughout the organization. With it, companies can make faster, more accurate decisions that reduce costs, increase revenue, and bring innovative products to market ahead of competitors."
More information is available about SAS Decision Manager,