This Demantra Demand Management training is an intensive course that teaches you about the Oracle Demantra Demand Management product. Expert Oracle University instructors will deep dive into demand planning--the collaborative process of projecting and managing the likely future demand of your products.
- Understand demand management.
- Navigate the Collaborator Workbench and worksheets.
- Understand series and time.
- Understand levels.
- Filter and customize worksheets.
- Understand forecasting methods.
- Understand forecast accuracy and exceptions.
- Use configure to order.
- Work offline.
Benefits to You
By taking this course, you’ll learn how successful demand planning is a crucial function for improving operational plans, resulting in optimal resource allocation, reduced inventory levels, and improved customer satisfaction.
The knowledge you gain will help you achieve optimal results using accurate forecasts of key value drivers.
You’ll walk away from this training with the ability to use the optimal combination of statistical techniques and judgmental overrides.
Explore the Analytical Engine
You will learn about the Demantra Analytical Engine, an advanced statistical engine capable of multidimensional forecasting with mixed modeling techniques. You’ll see how, when you run the Analytical Engine, it executes multiple forecasting models to generate the best forecast.
Use the Collaborator Workbench
Worksheets are the primary way that you view data in Demantra. This course gives you a chance to practice using and customizing the Collaborator Workbench, the launch point for viewing forecasts and running simulations, as well as adjusting and approving them.
- Navigating Collaborator Workbench
- and views
- Understanding series
- and levels
- Understanding filters
- Creating embedded worksheets and content panes
- Analyzing forecast accuracy
- Setting exception filtering
- Understanding workflows
- Using configure to order
- Working offline
- Understanding demand management
- Understanding forecasting and analytics in demand planning