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About SAS Data Quality

SAS Data Quality is a data quality software from SAS Institute that supports the management and improvement of data quality. It combines features such as data profiling, data cleansing, and data enrichment so organizations can ensure accurate and reliable data for decision-making. SAS Data Quality provides access to comprehensive documentation, training courses, and support resources, making it easier for users to fully utilize its capabilities. The solution is compatible with both SAS Viya and SAS 9.4, allowing for flexibility in deployment. Key capabilities: data profiling data cleansing data enrichment training resources documentation Best for: data analysts and data stewards that need to maintain high data quality across various datasets.

SAS Data Quality Details

Vendor
SAS Institute
Year Launched
1976
Location
100 SAS Campus Drive, Cary, NC 27513, US
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, French, German, Spanish, Italian, Japanese, Korean, Portuguese
Users
Data Analysts, Data Scientists, Business Analysts, Database Administrators, IT Professionals, Data Quality Managers.
Industries Served
Healthcare, Education, Finance, Retail
Tags
SAS, BI, Data Mining, Analytics, Business Analytics, Predictive Analytics, Statistics, Customer Intelligence, Enterprise Risk Management, AI, artificial intelligence, speed, productivity, SAS Viya, and cloud

SAS Data Quality's In-App Market Place

Does SAS Data Quality have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), AUD (A$), CAD (C$), CHF (Fr), CNY (元), SEK (kr), HKD (HK$), NZD (NZ$), SGD (S$)

Pros & Cons

  • Comprehensive Toolset – Covers profiling, cleansing, standardization, enrichment, and monitoring in one suite.
  • Enterprise-Grade Scalability – Built for high-volume, cross-platform environments.
  • Strong Integration with SAS Ecosystem – Seamless interoperability with other SAS tools and analytics workflows.
  • Customizable Rules & Workflows – Supports unique business logic across departments.
  • Powerful Governance Capabilities – Robust audit trails and dashboarding for compliance-heavy industries.
  • Steep Learning Curve – May require SAS-specific expertise for setup and optimization.
  • Complex Implementation – Initial deployment and customization can be resource-intensive.
  • Limited Appeal to Small Teams – Overkill for smaller businesses or teams with basic data needs.
  • Vendor Lock-in – Deep integration with SAS ecosystem may limit flexibility for hybrid/cloud-native toolchains.

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