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