This course addresses SAS Field Quality Analytics. The course teaches power users of the solution how to configure advanced analysis settings and how to perform and interpret advanced and early warning analyses.

The self-study e-learning includes:

• Annotatable course notes in PDF format.
• Virtual lab time to practice.

Learn how to

• Choose appropriate values for advanced analysis settings.
• Perform and interpret the results of six advanced analyses supported by the solution.
• Perform and interpret early warning analyses.
• Navigate the Early Warning workspace.

Who should attend

Power users of SAS Field Quality Analytics who need to understand analysis details and the more powerful analytical capabilities of the application

Formats available	Standard Duration
Classroom:	2 days
Live Web Classroom:	4 half-day session(s)	System Requirements
e-Learning:	14 hours/180 day license	System Requirements

Before attending this course, you should have completed the Essentials of SAS® Field Quality Analytics 6.3 course.

This course addresses SAS Supply Chain Intelligence, SAS Field Quality Analytics software.

Introdution

• Introduction and logistics.

Specifics on Calculations

• Calculation method.
• Usage Profiles.
• Minimum sample size type and minimum sample size.

Specifics on Advanced Analysis Definition and Output

• Statistical drivers.
• Decision tree.
• Text mining.
• Reliability.
• Failure relationships.
• Event forecasting.

Early Warning Concepts

• Introduction to early warning analysis.
• Analytic process concepts.
• Threshold process concepts.

Using the Early Warning Workspace

• Overview of the Early Warning workspace.
• Setting up an ad hoc - analytic process.
• Setting up an ad hoc - threshold process.
• Working with alert groups.
• Working with results.