SAS Supply Chain Intelligence

Kurstitel Stufe Kursformat
SAS® Collaborative Planning Workbench 5.2: Using the Solution
This course teaches you how to use SAS Collaborative Planning Workbench to develop a consensus forecast across your organization.

2 Basiswissen e-Learning
SAS® Demand-Driven Forecasting: Using the Solution
This course teaches forecasters and planners how to use SAS Forecast Analyst Workbench to predict product demand by using complex statistical models, develop a forecast consensus across the organization, and aggregate selected forecasts in the SAS Supply Chain Intelligence Center.

2 Basiswissen Classroom
SAS® Demand-Driven Planning and Optimization 5.2: Solution Orientation
The Solution Orientation training prepares members of your organization's project team to effectively implement the SAS Demand-Driven Planning and Optimization solution. This course teaches you key concepts, terminology, and base functionality integral to the SAS Demand-Driven Planning and Optimization solution. After completing the course, participants will be prepared to engage in the upcoming requirements-gathering sessions.

The self-study e-learning includes:

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

2 Basiswissen e-Learning
SAS® Field Quality Analytics: Advanced Topics
This course addresses SAS Field Quality Analytics. The course teaches power users of the solution how to configure advanced analysis settings and to perform and interpret advanced and early warning analysis.

3 Für Fortgeschrittene Classroom e-Learning
SAS® Field Quality Analytics 6.1: Essentials
This course addresses SAS Field Quality Analytics, and teaches end users how to select product and field event data and perform analyses.

2 Basiswissen Classroom e-Learning
Using SAS® Inventory Optimization Workbench 5.2
At the conclusion of this course, students will be able to explain how using the features and functions of SAS Inventory Optimization Workbench 5.2 will enhance their ability to calculate optimal inventory replenishment policies based on user-specified constraints thus enabling them to maintain customer service levels while minimizing average total costs.

3 Für Fortgeschrittene Classroom