Boost model performance.
Automate data-scoring processes for faster insights. Publish analytical models into database-specific functions that are deployed and executed directly within the database environment.
Increase data mining and IT productivity.
Faster deployment frees your analytics team to focus on new projects. By reducing the need to manually revalidate code for your models, you'll incur fewer labor costs.
Streamline analytic deployment.
There's no need to move data between SAS and the database for scoring purposes. This reduces the cost, complexity and latency of the scoring process. And it streamlines your analytic deployment.
Reduce data movement.
Reducing data movement and replication ensures data integrity, which is crucial for data governance. By scoring data inside the database, you can execute programs so that detail data is analyzed without crossing the database boundary.
Eliminate inconsistencies caused by excessive data movement and latency from conventional processes for scoring data.
Explore More on SAS® Scoring Accelerator
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- SAS® Enterprise Miner™Streamline the data mining process to create highly accurate predictive and descriptive models based on large volumes of data.
- SAS® Model ManagerRegister, modify, track, score, publish and report on analytical models through a web interface that is integrated with the model building process.