Analytic-centered firms get boost from SAS® decision automation
SAS®Decision Manager new features increase productivity, profitability, governance
As enterprises increasingly base decisions on sound data, SAS® Decision Manager offers more ways than ever to increase control, streamline operations and automate operational decisions. And organizations will see more deployment options, including in-database decisions for Teradata and Pivotal Greenplum.
“From profitability to customer satisfaction, enterprises make repeated decisions every day that affect success. Even small, tactical decisions add up to a significant impact on organizational effectiveness,” said Jim Davis, SAS Executive Vice President and Chief Marketing Officer. “SAS Decision Manager provides a single platform for the speed, consistency and accuracy demanded by a data-driven enterprise.”
The updated decision management software now includes analytically based business-rule discovery, with options to import business rules into decision flows. The result is greater confidence and lower risk for high-volume operational decisions.
“SAS Decision Manager integrates operational data, rules management and analytical modeling to better address high-volume decision making, helping enterprises modernize their operational decisions with traceable, controlled automation,” said Brian McDonough, IDC Research Manager. “We’ve heard from SAS clients about the benefits they’ve seen: significant improvements in time to market, increased collaboration and better agility to changing market conditions.”
The new SAS Decision Manager includes:
• Unique rule discovery that automates business-rule creation from operational data.
• Import of existing vocabularies, for business rule asset reuse.
• In-database deployment in addition to existing options.
• Improved governance with SAS workflow software, enhanced version control and rule lineage tracing.
• Publication of models into Hadoop and SAP HANA.
Better models, decreased risk, more agility
Record Bank, the third-largest bank in Belgium, has a solid history as an analytically driven organization, with advanced modeling underlying many business decisions. SAS Decision Manager has helped Record deploy analytic models, notably a new, more accurate credit risk model, far more efficiently into production environments.
With SAS Decision Manager, the bank reduced its model deployment time by 75 percent. Record Bank also found with expanded use of SAS, that credit risk monitoring is more efficient, predictions are more accurate and the speed of decision making has increased. With a credit portfolio of up to 13 billion euros, these benefits were good news.
“We are continuously searching for ways to make more accurate predictions and thus minimize our exposure to credit risk,” explains Jan Dodion, Credit Risk Manager at Record Bank. A new and vastly improved credit risk model was developed.
Record Bank implemented its new and highly complex credit risk model, without making any concessions whatsoever. “Thanks to SAS, we can use our powerful new model exactly as it was conceived, with all the correlations that we had defined. The result is that we gain the full benefit from its unique predictive power,” said Matthias Barbez, Credit Risk Modeler at the bank.
Alliance customers also benefit
“SAS Decision Manager integrates data management, business rules and advanced analytics in one integrated environment, such as Teradata’s in-database platform,” said Tho Nguyen, Teradata Director for its alliance with SAS. “Customers can develop and execute the entire decision flow within the Teradata environment, which is optimized for SAS Analytics. By providing a single source of data, Teradata centralizes the SAS analytical process, eliminates data movement and leverages Teradata’s parallelism to increase performance.”
Said Tim Stevens, Cloudera Vice President of Business and Corporate Development: “In today’s competitive landscape, companies can’t afford to sit and wait on business-critical decisions based on a partial view of their data. “SAS Decision Manager running on a Cloudera enterprise data hub enables organizations to be more proactive and productive in how they work with all of their enterprise data.”
To learn more about how decision management tools including SAS Decision Manager can improve your organization’s profitability, please download “Three steps to put Predictive Analytics to Work.”
Steve Polilli
Steve.Polilli@sas.com
919-531-2979
About SAS
SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 70,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world THE POWER TO KNOW®.
SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration. Other brand and product names are trademarks of their respective companies. Copyright © 2014 SAS Institute Inc. All rights reserved.
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