Drive new levels of quality performance

SAS Quality Analytic Suite highlight

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.



Organizations of all sizes are working smarter with SAS


Recommended resources for SAS Quality Analytic Suite

Webinar

Optimizing manufacturing quality & yield with SAS Analytics

Insights

Big Data Insights

E-book

Five steps to accelerate value from your industrial IoT data