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Introduction to Analytical Decision Management (v18)

Course content updated by LearnQuest
Price
825 - 1,630 USD
16 Hours
0S114G
Classroom Training, Online Training
IBM Business Partner
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  • Learn on Demand
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 825 USD
  • Date: 31-Jan-2022 to 1-Feb-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
  • Date: 21-Feb-2022 to 22-Feb-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
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Course Description

Overview

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.

Objectives

Please refer to course overview

Audience

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

Prerequisites

    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
     

Topics

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
 

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Self-Paced Training Info

Learn at your own pace with anytime, anywhere training

  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
  • View the Self-Paced version of this outline and what is included in the SPVC course.
  • Learn more about e-Learning

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Self-Paced Training Terms & Conditions

THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.

This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.

Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.

You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.

If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system.

Click the Skytap Connectivity Test button to ensure this computer's hardware, software and internet connection works with the SPVC Lab Environment.

Click the Skytap Connectivity Documentation button to read about the hardware, software and internet connection requirements.

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