With SAS Decision Manager, organizations can 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 improve the speed and accuracy of decisions and ensure they are consistent and repeatable.
SAS® DECISION MANAGER IMPROVES PERFORMANCE
Executives at one global financial services firm, for example, knew that better lending decisions reduced credit risk. Traditionally, the firm's analytics team had built a small number of models to predict loan repayment. Its IT team had then received the models, and customer data was fed in for analysis. Finally business staff approved loans based on the models' recommendations. These many steps and handoffs added time and costs to lending decisions.
SAS Decision Manager now allows the same company to feed data into a variety of relevant data models while eliminating manual handoffs between the teams. This has reduced the decision cycle from months to hours. And with SAS Decision Manager, loan decisions are constantly validated and modified based on ongoing input and further analytics.
SAS Decision Manager has also helped the business staff of this financial services firm to create business rules to determine how to use model output. The IT and business teams now use the most relevant models and business rules for loan decisions, and the speed and effectiveness of lending has increased significantly.
"The use of business rules as a foundation for decision management systems promotes agility by ensuring that business rules are transparent, easy to change and owned by the business," said James Taylor, CEO and Principal Consultant for Decision Management Solutions. "In this era of big data, organizations look for analytic insights to improve performance. They need an integrated decision life cycle supported by a common platform that drives collaboration among business, IT and analytics teams. SAS Decision Manager supports these requirements in a single integrated platform."
AUTOMATE DECISIONS, BOOST BIG DATA VALUE
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.
- Centers decision design around a decision flow that supports analysis, simulation and reporting.
- 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."