SAP and SAS
Accelerating the Real-Time Enterprise
Organizations are constantly seeking more effective ways to make decisions. They are relying increasingly on facts derived from a variety of data assets. But difficulties arise when data volumes grow ever larger and there are hundreds or thousands of decisions to make each day.
Combining the power of the SAP HANA platform with SAS advanced analytics applications is the first wave of innovation we plan to deliver to our joint customers.
- Bill McDermott
Chief Executive Officer
SAP and SAS® lead the combined markets for in-memory platforms, advanced analytics and business applications. The collaboration between SAS and SAP harnesses the power of combined platforms, while eliminating data movement, duplication and reconciliation. It will also enable massive parallelization of computation-heavy workloads – all in-memory – enabling new big data solutions that could not be delivered before.
Decision makers will be able to maximize the value of real-time data analysis within their existing SAS and SAP HANA environments. Our collaboration incorporates the SAP HANA in-memory platform into industry-specific applications and enables SAS advanced analytics algorithms to run in SAP HANA. And the SAS® Predictive Modeling Workbench for SAP HANA integrates our industry-leading analytics with the SAP HANA platform to simplify and accelerate the predictive modeling life cycle.
SAP and SAS are already investigating solutions together in areas like marketing, quality, asset maintenance and risk, and industries including manufacturing, retail, financial services and energy. Solutions include:
- Predicting asset failures.
- Warranty analysis.
- Risk management.
- Customer intelligence.
Data scientists today can already use SAP and SAS together through traditional methods:
- Extract data from HANA to build analytic data sets.
- Perform analytics.
- Create models and score them efficiently.
Advantages of running SAS applications directly on HANA:
- Removes data duplication.
- Reduces data movement.
- Reduces requirements to reconcile data.
- Eliminates decision latency and application complexity.
- Increases data scientist productivity.
- Improves performance of workloads running SAS analytical models in-memory in SAP HANA.
- Moves analytic insight closer to the point of decision – embeds analytics into everyday applications to provide business users with insights they need in real time.
As market leader in enterprise application software, SAP (NYSE: SAP) helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable more than 248,500 customers to operate profitably, adapt continuously, and grow sustainably. For more information, visit www.sap.com.