SAS® Scoring Accelerator
High-performance model scoring and deployment with faster time to results
SAS Scoring Accelerator enables customers to publish scoring models created in SAS® Enterprise Miner™ into database-specific functions to be deployed and then executed directly within the database environment. This reduces unnecessary data movement and leverages database scalability for faster deployment of analytic models, which yields more timely information.
Benefits
- Achieve higher model-scoring performance and faster time to results.
- Improve the productivity of your data mining and IT groups.
- Reduce data movement and latency.
- Better manage, provision and govern data.
- Efficiently utilize IT resources and reduce costs.
Features
- SAS® format library
- SAS® Enterprise Miner™ Score Export node
- SAS® Scoring Accelerator publishing client
- Integrated environment for tracking and monitoring model performance over time
How SAS® Is Different
- SAS Scoring Accelerator combines the statistical transformation and modeling methods available in SAS Enterprise Miner with the scalability and processing speed offered through the database system. The combination provides an integrated analytical environment for the massively parallel deployment of SAS Analytics inside the data warehouse database.
- SAS Scoring Accelerator takes the complete scoring model code, the associated property file that contains model inputs and outputs and a catalog of user-defined formats, and deploys (or publishes) them within the data warehouse database.
- By moving the scoring function to the database, the common security, auditing and administration capabilities offered by the database are honored and leveraged. This requires less movement of data, increases utilization of the enterprise data warehouse stored in the database and reduces overall costs.
Benefits
- Achieve higher model-scoring performance and faster time to results. By leveraging in-database processing, SAS Scoring Accelerator eliminates the need to move data between SAS models and the database for scoring purposes, further reducing the cost, complexity and latency of the scoring process. The performance of the entire modeling process is improved, enabling faster predictive results and competitive advantage.
- Improve the productivity of your data mining and IT groups. Rather than using manual transformation and scoring steps, SAS Scoring Accelerator enables IT to automate model deployment processes. Faster deployment frees the analytics team to begin new projects and carry the value of analytics to other areas of the organization. Organizations incur fewer labor costs by avoiding manual scoring and reduce revalidation of code for scoring purposes.
- Reduce data movement and latency. In-database scoring improves the accuracy of data analysis and reduces data movement and replication to streamline analytics processing. This helps organizations deliver analytics quickly while maintaining data reliability and integrity.
- Better manage, provision and govern data. Reducing data movement and consolidating data in a data warehouse addresses data governance and helps ensure regulatory compliance. The common security, auditing and administration features of the database help ensure that regulated data is not accessed improperly. In addition, by running model scoring steps inside the database, programs can be executed in such a way that detail data can be summarized and analyzed without crossing the regulatory boundary created in the database.
- Efficiently utilize IT resources and reduce costs. Leveraging investments in existing platforms, software and processes means that more consistent and reliable information is delivered to decision makers in a timely manner. The result is increased operational efficiency that yields faster time to value and reduced cost of ownership for analytic solutions.
Features
- SAS® format library
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- File that is deployed once to the database system.
- SAS® Enterprise Miner™ Score Export node
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- Automatically included in your SAS Enterprise Miner installation for adding to your process flow diagram analyses.
- Exports the model-scoring logic, including metadata about the required input and output variables.
- Generates sample training and scoring data set for testing.
- SAS® Scoring Accelerator publishing client
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- Automatically translates and publishes the model as a scoring function inside the database.
- Generates a script of database commands for registering the scoring function inside the database.
- Scoring functions are available for use in any SQL expression wherever database-specific built-in functions are typically used.
- Publishes model as protected or unprotected.
- Supports SAS intrinsic and user-defined formats.
- Optimally supports a robust class of SAS Enterprise Miner predictive and descriptive models, including the preliminary transformation layer (such as data imputations).
- Variable binning and reduction.
- Integrated environment for tracking and monitoring model performance over time
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- Fully integrated with SAS Model Manager, an analytic model management and deployment environment, to further streamline the registration and validation of SAS models in the database.
System Requirements
SAS® Scoring Accelerator for Teradata System Requirements
Required SAS® software
- Base SAS®
- SAS® Enterprise Miner™
- SAS/ACCESS® Interface to Teradata
Optional SAS® software
- SAS® Model Manager
Client environment
- Client utilities for Teradata 13.0 and higher
Server environment (database release)
- Teradata 13.0 (Linux)
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Teradata 13.10 (Linux)
SAS® Scoring Accelerator for Netezza System Requirements
Required SAS® software
- Base SAS®
- SAS® Enterprise Miner™
- SAS/ACCESS® Interface to Netezza
Optional SAS® software
- SAS® Model Manager
Client environment
- Client utilities for Netezza 5.0 or higher
Server environment (database release)
- Netezza TwinFin 5.0
- Netezza TwinFin 6.0
SAS® Scoring Accelerator for DB2 System Requirements
Required SAS® software
- Base SAS®
- SAS® Enterprise Miner™
- SAS/ACCESS® Interface to DB2
Optional SAS® software
- SAS® Model Manager
Client environment
- Client utilities for IBM DB2 9.7
Server environment (database release)
- IBM DB2 9.7: AIX 6.1
- IBM DB2 9.7: Linux for x64, SuSE SLES 10 Update 3
For more information and system requirements for SAS Enterprise Miner, SAS/ACCESS interfaces or other SAS products, please visit our product and solution Web pages.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.


