SAS® Data Quality and SAS® Data Quality Server

Improve the consistency and integrity of your data to increase the value of your analytical results. SAS Data Quality technology supports a variety of data quality operations, including casing, parsing, fuzzy matching, and standardization.

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The most recent releases are:

SAS Data Quality (SAS® Viya® 3.4)

SAS Data Quality Server (SAS 9.4M5)

What's New in SAS Data Quality 3.4

SAS Data Quality technology is now delivered in SAS Data Quality 3.4, for SAS Viya, and in SAS Data Quality Server 9.4M5. In the 3.4 release, new identification analysis functions support profiling and data discovery.

Enhancements include:

  • New functions for identification analysis to profile and categorize data.
  • Combined documentation for SAS Data Quality 3.4 and SAS Data Quality Server 9.4M5.
  • Ability to perform data quality operations on data in CAS, and execute programs in CAS that contain data quality functions.
  • New function to obtain a confidence score for locale guessing.
  • Ability to interoperate with SSL-enabled DataFlux Data Management Server.
  • Ability to list the locales supported by the SAS QKB with the DQLOCLST procedure.
  • Results syncronization with DataFlux Data Management software.
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Documentation

Find user's guides and other technical documentation for SAS Data Quality.


SAS Data Quality 3.4 (SAS Viya) and SAS 9.4 Data Quality Server   

Related Documentation

Recommended Reading

 


Previous Versions

9.3

  • SAS 9.3 Data Quality Server: Reference PDF | HTML
  • SAS Data Quality Server Procedures HTML

9.2

  • SAS Data Quality Server 9.2: Reference, Second Edition PDF | HTML
  • SAS Data Quality Server Procedures HTML

9.1.X


SAS Data Quality Server 9.1.2 and 9.1.3

  • What's New in SAS Data Quality Server HTML
  • SAS 9.1.2 Data Quality Server: Reference PDF
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Hot Fixes

Find quick solutions to problems or conduct routine system maintenance. SAS hot fixes have been tested and are fully supported.

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SAS Data Quality Blogs & Communities

Connect with other SAS users by joining a users group or attending an upcoming event.

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