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.
Mehr zum Thema
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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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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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White Paper
Data Quality Challenges and PrioritiesFind 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.
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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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White Paper
Populating a Data Quality Scorecard with Relevant MetricsExplore 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.
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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.
Mehr Informationen finden Sie im SAS Data Quality Factsheet.
Erfahren Sie, wie Sie in fünf Schritten Ihre Daten als Unternehmenswert begreifen und veredeln können.
Understanding Big Data Quality for Maximum Information Usability.
Related Offerings
Check out these products and solutions related to SAS Data Quality.
- 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 ManagementEnsure better, more reliable data integrated from any source.
- SAS® Data Quality for Midsize BusinessAssess, improve, monitor and manage the quality of all your data, structured and unstructured.
