Data quality is a key component of the SAS 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.
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.
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.
Explore More on SAS® Data Quality and Beyond
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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.
- 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.
- Article You can’t have that data! It’s not perfect yetShould you have complete confidence in the quality of your data before handing it over for use in processes or analytics? Not necessarily. Find out why it’s okay for your data to be “good enough.”
Populating a Data Quality Scorecard with Relevant Metrics
Explore ways to qualify data control and measures to support a data governance program, and learn how data management practitioners can define metrics that are relevant to how specific data-quality issues affect their business.
Data Quality Challenges and Priorities
Find out how organizations are addressing their most pressing data quality issues, discover the top 10 priorities for data quality solutions, and learn the best ways to engage and empower business users to improve data quality.
Improving Data Preparation for Business Analytics
This 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.r More Productive Users
- 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.
- 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?
- 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.
- Analyst Report Gartner positions SAS as a Leader in the Magic Quadrant for Data Quality SolutionsSAS believes product innovation and trusted support are key to market growth for data quality solutions.
- 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.
- Article 5 ways to become data-drivenSuccessful data-driven businesses foster collaborative, goal-oriented cultures, have leaders who believe in data and are governance-oriented. Read more in this summary of TDWI research that uncovers best practices for becoming data-driven.
- Customer Story Data quality lifts sales effortsBMC Software achieves real-time data quality to meet customer demand.
- 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.
- Analyst Report SAS throws its hat into the self-service data preparation ring with Data Loader for Hadoop
Building a Data Quality Scorecard for Operational Data Governance
Learn how to take the concepts of data governance into general practice as a byproduct of the processes of inspecting and managing data quality control.
- 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.
The General Data Protection Regulation: What It Means and How SAS® Data Management Can Help
Find out how the GDPR could affect your business and how SAS Data Management solutions can help you prepare.
Check out these products related to SAS Data Quality, built on the powerful SAS® Platform.
- SAS® Data GovernanceMaintain a consistent set of policies, processes and vocabulary for your corporate information.
- SAS® Data Loader for HadoopManage big data on your own terms – and avoid burdening IT – with self-service data integration and data quality.
- SAS® Data Quality for Midsize BusinessAssess, improve, monitor and manage the quality of all your data, structured and unstructured.