Introduction to Analytical Decision Management v18 0S114G

This course is intended for:

• Anyone with little or no experience in using Analytical Decision Management v18
• Anyone who is interested in using Decision Management techniques to help them make business decisions
• Anyone who is considering purchasing Analytical Decision Management v18.

Please refer yo Course Overview and Outline.

Candidates should have:

• Experience using applications, such as word processors or spreadsheets, in the Microsoft Windows, Macintosh or Linux environment
• Experience with Analytical Decision Management v18 is not necessary, though a basic understanding of Decision Management theory and techniques is helpful
• Some familiarity with IBM SPSS Modeler and with Predictive, Clustering, and Association modeling is helpful.

Contact CM Training about training opportunities in these fields.

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. Prioritise, Optimise and Combine Outcomes

• Selecting From Alternative Actions
• Prioritising Outcomes
• Optimising 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