Introduction to Analytical Decision Management (v18) Schulung

1. Introduction to Decision Management

• What is Decision Management?
• Why Use Decision Management?
• Analytical Decision Management
• Five Steps of Decision Management
• Use of Data
• Historical and Operational Data
• Classification Models
• User Defined Rules
• Deploying Models

2. A Sample Session:  Managing Customer Interactions

• Five Steps in Decision Management
• Demonstration:  A Marketing Call Center Business Case

3. Defining Data Sources

• Data Structure
• Field Storage
• Field Measurement Level
• Data Step
• Project Data Source
• Derived Tab
• Secondary Data Sources
• Compatibility of Data Sources

4. Defining Global Selections

• Adding Rules to Global Selections
• Defining and Sharing Rules
• Evaluating Rules

5.  Creating Rules from Models

• Predictive Models
• Predictive Rule Models
• Clustering Models
• Association Models
• Automated Data Preparation & Partitioning
• Evaluating Models

6.  Defining Outcomes

• Specify Project duration
• Include / Exclude Cases from Project
• Define Action Categories
• Create Allocation Rules

7. Prioritize, Optimize and Combine Outcomes

• Selecting From Alternative Actions
• Prioritizing Outcomes
• Optimizing Outcomes
• Combining Outcomes

8. Deploying Models for Scoring

• Why Deploy the Project?
• Real Time Scoring Panel
• Batch Scoring Panel
• Scoring Configurations
• Using the Scoring View

9. Building a Custom Application

• Application Configuration
• Creating a New Application

10. Using Modeler Streams in ADM

• Using Modeler Streams
• Minimum Requirements for a Stream
• Using a Stream in a Project