Introduction to Analytical Decision Management (v18) SPVC

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