Data quality
SAS Data Quality
Build a data-driven business and make decisions you can trust.
Become data-driven, and make better decisions using data you can trust.
Improve your data where it exists.
SAS Data Quality meets you where you are, addressing your data quality issues without requiring you to move your data. You’ll work faster and more efficiently – and, with role-based security, you won’t put sensitive data at risk.
Manage the entire data quality life cycle.
Data quality isn’t something you do just once; it’s a process. We help you at every stage, making it easy to profile and identify problems, preview data, and set up repeatable processes to maintain a high level of data quality.
Build on decades of data quality experience.
Only SAS delivers this much breadth and depth of data quality knowledge. We’ve experienced it all – and integrated that experience into our products. We know that data quality can mean taking things that look wrong and seeing if they’re actually right. How? With matching logic. Profiling. Deduplicating. And – above all else – innovating.
Promote collaboration.
SAS Data Quality gives business users the power to update and tweak data themselves, so IT is no longer spread too thin. Out-of-the-box capabilities don’t require extra coding. Enhanced SAS and third-party metadata management, visualization and reporting keep everyone on the same page.
Key Features
Data quality is a key component of our analytics platform, and we can help you put it at the core of everything you do. We support traditional relational databases, data lakes, cloud offerings, on-site and hybrid data architecture deployments.
Data cleansing
Correct nonstandard or duplicate records as well as unknown data types.
Entity resolution
Identify individuals across multiple data sources from incomplete relationships.
Unified web-based console
Monitor data quality jobs, and view data issues and governance activities.
Foundational master data management
Achieve a single view across multiple sources for one domain.
Business glossary & lineage
Align business and IT, relate business and technical metadata, and visualize how changes affect other data assets.
Visualization & reporting
Create reports and share information about data management initiatives as well as monitor data health and status of remediation issues.
Data integration
Embed data quality into extract, transform and load (ETL) and extract, load and transform (ELT) activities from multiple sources.
Data remediation
Route decisions about data issues to the right data steward or DBA for resolution.
In-database technologies
Shorten the time needed for key data quality and analytical processes by carrying out data quality and scoring functions in the database.
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Analyst Report
Gartner positions SAS as a Leader in the Magic Quadrant for Data Quality SolutionsGartner positions SAS as a Leader in the Magic Quadrant for Data Quality Solutions.
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Customer Story
A data-driven approach to whole person careRiverside County relies on data integration and analytics from SAS to improve the health and well-being of vulnerable Californians.
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Article
Data management backgrounderFrom data integration to data quality and data preparation, find out what these terms mean and why they’re so important for your analytics projects.
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Article
Data quality management What you need to knowData quality isn’t simply good or bad. Data quality management puts quality in context to improve fitness of the data you use for analysis and decision-making.
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Article
What is data profiling and how does it make big data easier?Data profiling, the act of monitoring and cleansing data, is an important tool organizations can use to make better data decisions.
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White Paper
The General Data Protection Regulation: What It Means and How SAS® Data Management Can HelpFind out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
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White Paper
Improving Data Preparation for Business AnalyticsThis TDWI Best Practices Report discusses the latest data preparation processes, self-service options and how to effectively integrate data prep with analytics and BI solutions.
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Article
The importance of data quality: A sustainable approachBad data wrecks countless business ventures. Here’s a data quality plan to help you get it right.
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Article
Components of an information management strategyBefore starting a data management strategy for your business, you need to understand each component. Data expert David Loshin breaks them down.
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Case Study
Canada Post on the (careful) commercialization of dataAs a common data point across databases, address data is an integral part to any master data management strategy. It’s powerful when it’s right; frustrating when it’s not. Could Canada Post turn a seemingly ordinary data point into a profitable business line?
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Article
Five steps that can save your data analytics – and help you save faceThere’s nothing more awkward than watching analysts struggle to defend their results. Even if you think your process is rock-solid, things can go awry – unless you keep these milestones in mind.
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Customer Story
Building a decision support systemSAS Business Analytics helps DES generate and analyze key statistical reports, saving time and leading to more effective socioeconomic decision making.
Les fonctionnalités détaillées de SAS Data Quality.
Gartner positionne SAS dans le quadrant des leaders du Magic Quadrant pour les outils de qualité de données.
Related Offerings
Check out these products and solutions related to SAS Data Quality.
- SAS® Data ManagementEnsure better, more reliable data integrated from any source.
- SAS® In-Database TechnologiesShorten the time needed for key data quality and analytical processes by performing them within the database. Available for Hadoop Cloud Services, Cloudera Data Platform, Azure Synapse Analytics, Databricks and Teradata.