SAS Quality Analytic Suite
Identify issues earlier. Find root causes faster. And significantly reduce the costs of poor quality while enhancing your brand reputation.
Key features
Enterprise data quality management
Integrates structured and unstructured quality-related data from all sources to provide an enterprise view of quality performance and drive improved quality outcomes.
Common framework for the quality life cycle
Provides a common foundation, workspaces and user interface to ensure a consistent approach to using analytics to improve quality outcomes.
Advanced early-warning analytics
Advanced analytics identifies issues early, even before they occur, so you can proactively take corrective action to improve outcomes.
Superior root-cause analysis
Includes a complete spectrum of analytical tools, including explorative analysis, design of experiments with optimizers, and cause-and-effect tools like Ishikawa diagrams.
Predictive modeling capabilities
Enables neural networking, regression analysis and clustering. Use predictive models to achieve advanced process control (APC), and set up downstream processes based on upstream results to compensate for prior quality issues.
Get to know how SAS drives quality performance
SAS Quality Analytic Suite integrated solutions
- SAS® Asset Performance AnalyticsHarness M2M and sensor data to boost uptime, performance and productivity while lowering maintenance costs and reducing your risk of revenue loss.
- SAS® Field Quality AnalyticsDetect emerging issues and perform root-cause analysis to improve product quality and brand reputation.