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 by SAS is a robust software designed to improve the overall quality of data within an organization. Its primary purpose is to ensure that data is accurate, consistent, and reliable to drive informed decision-making. One of the standout features of SAS Data Quality is its data profiling capabilities, which allow users to gain insights into the quality of their data and identify any inconsistencies or errors. The user interface of SAS Data Quality is intuitive and user-friendly, making it easy for both technical and non-technical users to navigate the software. The design elements are clean and well-organized, enhancing the overall user experience. Users can easily access and utilize the various functionalities of the software without feeling overwhelmed. What sets SAS Data Quality apart from its competitors is its comprehensive set of data quality tools and capabilities. The software offers a wide range of functionalities, including data cleansing, deduplication, standardization, and enrichment. These tools allow users to cleanse and standardize their data effectively, ensuring accuracy and consistency across datasets.
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.
Features
Key features
- Data Profiling
- Identifies anomalies, missing values, duplicates, and structural issues in data sets through automated scanning and profiling.
- Data Cleansing & Standardization
- Parses, corrects, and formats inconsistent or incorrect data based on customizable rules and global standards.
- Fuzzy Matching & De-duplication
- Uses match codes and fuzzy logic to detect duplicate records and link related entities.
- Governance & Audit Controls
- Offers data lineage, role-based access, auditing, and dashboards for monitoring data quality across systems.
- Real-Time & Batch Processing
- Enables both live and scheduled validation, correction, and standardization workflows.
Additional features
- Custom Quality Rules
- Define and enforce business-specific quality metrics and standards across datasets.
- Data Enrichment
- Integrates with external sources to append or validate data such as postal addresses or business registries.
- Data Monitoring Dashboards
- Provides real-time visualization of quality KPIs, error rates, and rule violations.
- Metadata Management
- Tracks the origin, movement, and transformation of data assets.
- Multilingual Parsing
- Handles global data formats, names, and addresses in multiple languages.
- Scalable Processing
- Designed to support large volumes of structured and semi-structured data in cloud and on-prem environments.
- Integration with SAS Viya
- Tightly integrates with SAS Viya for AI model development, deployment, and trustworthy data pipelines.
- Entity Resolution Foundation
- Consolidates records into golden master records across systems and formats.
Pricing
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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
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
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.
SAS Data Quality's Support Options
SAS Data Quality's Alternatives
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