SAS Data Quality and Data Governance components are delivered by default for all SAS Viya customers without additional cost. SAS Viya, a cloud-native platform, also includes tighter integration of data quality functions within SAS ecosystems. SAS customers can leverage its data quality capabilities in any of its products.
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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.
- 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.
- White Paper The SAS Data Governance Framework: A Blueprint for SuccessThis white paper explains how to build a comprehensive data governance framework that encompasses all parts of the data management infrastructure.
- 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.
- White Paper I Spy PII: How to Use SAS® Data Management for Personal Data ProtectionGet a step-by-step look at how to use SAS Data Management software to access, identify, govern, protect and audit personal data across your organization.
- 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.
- 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.
- 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.
- 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.
- Article Data governance: The case for self-validationLearn why you should redefine data governance policies to empower customers to be accountable for keeping their personal data accurate, consistent and up-to-date.
- 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.
- Article Data quality: The Achilles' heel of risk managementGiven the tightly regulated environment banks face today, the importance of data quality cannot be overstated. Beyond the obvious benefits of staying one step ahead of regulatory mandates, having accurate, integrated and transparent data drives confident, proactive decisions and supports a solid risk management foundation.
- 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.
- 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.
- 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.
- White Paper Building an Analytical Culture for SuccessAn ambitious, culture-centric project reshaped people’s attitudes about data and quickly returned more than a $1 million in cost savings. See the six guiding principles that led to success where three earlier attempts had failed.
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