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SAS® In-Database Technologies

Manage data where it lives.

Shorten the time needed to perform key data quality and analytical processes by carrying out such functions within the database. In-database processing technologies from SAS enable your IT department to provide business units with data that is both accurate and up to date.


Greater data mining and IT group productivity.

Don’t rely on manual transformation and scoring steps. In-database processing and scoring accelerators from SAS can boost the productivity of your data mining and IT groups by automating model deployment processes. Faster deployment means your analytics team will have time to focus on new projects.

Easy access to excellent data quality.

If you think easy to use means scaled-down capabilities, think again. SAS in-database technologies are easy to use, while still offering complete data quality capabilities. That means even business users can perform data-related tasks using an intuitive, wizard-driven web interface – no specialized training needed.

Data that's fresh and consistent.

There's no need to move data between SAS and the database. This reduces the cost, complexity and latency of your data preparation and analytical processes, enabling faster insights and better decisions.

Faster insights from faster processing.

In-database processing allows you to take advantage of the massively parallel processing (MPP) architecture offered by the database. And that means high scalability and a faster time to insights.

SAS In-Database Technologies

SAS® Scoring Accelerator

    SAS® Data Quality Accelerator

    SAS® In-Database Code Accelerator

    Improving campaign creation speed from hours to minutes by running SAS scoring inside the Teradata warehouse, optimizing marketing investment, minimizing reliance on outside vendors – these achievements and more enabled massive improvements to campaign effectiveness along with a significant reduction in costs and remarkable increase in revenue.
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    • SAS® Scoring Accelerator
      • Automatic publishing client.
      • In-database execution. 
      • SAS® Enterprise Miner model support. 
      • SAS/STAT® model support.
      • Run-time environment. 
      • Model publishing and scoring.
      • Model performance tracking and monitoring. 
    • SAS® In-Database Code Accelerator
      • In-database execution.
      • Massively parallel processing.
      • Performance gains.
    • SAS® Data Quality Accelerator
      • Casing. 
      • Extraction.
      • Gender analysis.
      • Identification analysis. 
      • Parsing.
      • Pattern analysis. 
      • Standardization.
      • Matchcode generation.

    Recommended Resources

    Read the SAS Scoring Accelerator fact sheet.

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    Connect with the latest insights on data management.

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