SAS^® Production Quality Analytics Features

Integration of all relevant data in an enterprise quality-centric data model

• Parts-movement data.
• Measurement data.
  • Continuous measures.
  • Categorical measures.
• Equipment data.
• Supplier-quality data.
• Environmental data.
• Cost attributes.
• Organizational data.
  

Supports multiple data storage options

• SAS^® Scalable Performance Data Server.
• SAP HANA.
• Apache Hadoop.

Automated monitoring & alerting

• Parts-movement data.
• Measurement data.
• Genealogy data.
• Process data.
• Asset condition data.

Predictive modeling

• Decision trees.
• Neural networks.
• Regression analysis.
  
• Clustering.
  

Advanced analysis workspace

• Pareto charts.
  
• Control charts.
  
• Histograms.
  
• Distribution analysis.
  
• Design of experiments.
  
• Regression and curve fitting.
  
• Path analysis.

Workflow & case management

• Corrective action and preventive action (CAPA) workflows.
  
• Case-management documentation.
  

Reporting & KPI dashboards with drillable alerts

• KPI dashboard.
  
• Web-based reports.
  
• Web-based graphs.
  

Custom analysis framework

• Flexible framework to support any stored processes in the SAS Quality Analytic Suite UI.
  • Handles user interactions.
  • Surfaces and manages outputs.
  • Persists status between sessions.
  • Supports independent and dependent stored processes.
  • Capability analysis as a "blueprint."

Seamless integration with the full SAS^® Quality Analytic Suite 6.2, including SAS^® Field Quality Analytics & SAS^® Asset Performance Analytics

• Common code base and data model simplify enterprisewide operational improvements and allow a modular approach to adding analytics capability as the organization matures.