SAS® Enterprise Decision Management
Embed information and analytical results directly into operations at the point of decision
As part of an information management framework, SAS Decision Management makes it easy to deliver the results from analytical processes into operational systems. Data management processes take information from multiple sources, prepare it and make it available for analytic processes. Insights from analytics can be pushed into business system, to the Web and to mobile devices so decision makers or business solutions have the information they need.
SAS provides decision management capabilities that include business rules, case management and workflow management that facilitate the integration of analytical results and insights back into operational systems and business processes.
Components of SAS® Enterprise Decision Management
- SAS Decision Manager – Quickly and seamlessly automate operational decisions that streamline day-to-day business activities.
- SAS Business Rules Manager – Enable multiple users to create, deploy and manage complex business rules within a single managed environment.
- SAS Model Manager – Deliver model management capabilities to users consistently to support an automated analytical life cycle that includes analytical model imports, deployment, operations and monitoring.
How SAS® Is Different
- Integrated decisions. By embedding rich information and analytics services within operational applications, SAS brings the power of analytics and business rules directly to the place where operational decisions are made. In addition, SAS provides a closed-loop continuum that cycles analytical results back into the analytics and decision life cycle.
- Rich analytics. While there are many solutions available that help organizations manage their processes, none include the depth and breadth of SAS Analytics. Decisions based on applying analytics at the moment they are needed can lead to superior results and competitive advantage.
- Simplified deployment. Free analysts from deployment concerns. Instead, analysts can focus on the business logic and analytical models needed to implement their strategies. One environment, one answer, one deployment.
Information sharing and collaboration. Having a consistent interface eliminates the need to log in to different tools – and ensures consistent metadata is used to effectively link information. So teams responsible for different activities are better able to access and share the same information across the enterprise.
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