SAS Data Quality gives you a single interface to manage the entire data quality life cycle: profiling, standardizing, matching, and monitoring. It lets you validate data against standard measures and customized business rules. Uncover relationships across tables, databases, and source applications. Verify that the data in your tables matches the appropriate description. Establish trends and commonalities in business information and examine numerical trends via mean, median, mode, and standard deviation.
It makes it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality.
Access control: |
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Commercial: |
Commercial
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Desktop/Cloud: |
Cloud
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Excel workbooks: |
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Flat files: |
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Free edition: |
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Metadata identification: |
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NoSQL sources: |
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Runs on: (for desktop): |
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Sensitive data discovery: |
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SQL sources: |
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Statistics of data: |
Avg,Stdev
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Tagging data: |
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