Introduction to Analytical Decision Management (v18) SPVC - 0W114G

Description

This course brings the benefit of predictive analytics to real business problems, allowing you to build custom applications tailored to your customers or industry. While applications are typically configured to solve very specific problems, all are based on a common set of capabilities: Automate decisions using business rules; add insight using predictive models; and use prioritization, optimization, or simulation to reach the best decision based on the above. A number of packaged applications are available, tailored to solving specific business problems.
The course will not only cover how to use the packaged applications, but also how to create your own applications, how Analytical Decision Management interplays with IBM SPSS Modeler (v18) and IBM SPSS Collaboration and Deployment Services (v8), and how to deploy results for real-time.

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

Aim

Please refer to course overview

Participant requirements

You 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

Participant

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