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.
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 and lineage
Align business and IT, relate business and technical metadata, and visualize how changes affect other data assets.
Visualization and 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.
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.
Explore More on SAS® Data Quality and Beyond
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Analyst Report
SAS throws its hat into the self-service data preparation ring with Data Loader for HadoopThe strategy centers on three key themes: 'big data'management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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Customer Story
Data quality lifts sales effortsBMC Software achieves real-time data quality to meet customer demand.
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Customer Story
Finding the diamonds in your dataAt Gitanjali Group, a weekly reporting project that took several finance staffers a day to complete can now be done in an hour with SAS Business Intelligence.
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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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White Paper
Building a Data Quality Scorecard for Operational Data GovernanceLearn how to take the concepts of data governance into general practice as a byproduct of the processes of inspecting and managing data quality control.
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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.
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White Paper
Data Quality: The Achilles' Heel of Risk ManagementEffective data quality management should be considered a basic requirement for modern-day bank management. This paper focuses on five best practices for improving data quality that are derived from successful SAS projects within the financial services industry.
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White Paper
Data EvolutionLearn about the evolution of data integration tools and the benefits that can be achieved with a comprehensive data management platform.
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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
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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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.r More Productive Users
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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.
Related Products
Check out these products related to SAS Data Quality, built on the powerful SAS® Platform.
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SAS® Data GovernanceMaintain a consistent set of policies, processes and vocabulary for your corporate information.
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SAS® Data Loader for HadoopManage big data on your own terms – and avoid burdening IT – with self-service data integration and data quality.
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SAS® Data Quality for Midsize BusinessAssess, improve, monitor and manage the quality of all your data, structured and unstructured.
