£1,150.00

Price for this course

2 HOURS

Duration

Classroom IBM

Delivery

Available dates


Mon15Feb 21 TO Tue16Feb 21

Where

Tech Data ILO UK
Connection details will be communicated separately
Instructor Led
Online

Code

TR-664276
Mon17May 21 TO Tue18May 21

Where

Tech Data ILO UK
Connection details will be communicated separately
Instructor Led
Online

Code

TR-664277

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.

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

Objective

Please refer to course overview

Course Outline

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



FAQs

What do I need to bring with me to my public class?

All required learning materials and equipment are provided in the classroom.

 

 

 

 

When do public training course fees have to be paid?

For public training classes payment must be received no later than three business days prior to the first day of class in order to remain in the class and confirm your seat. Failure to provide payment by this date may result in removal from the class, and/or late cancellation fees applied. You can submit payment in the form of a Purchase Order or credit card.

 

 

 

 

On-site (private) Course Pricing:

To find out more about On-site training e-mail us at enablement@agilesolutions.co.uk or call one of our offices.

 

 

 

 

What is the cancellation policy?

Requests for cancellations or date transfers need to be received at least ten (10) business days prior to the event start date in order to receive a full refund. If a cancellation or reschedule request is received less than ten (10) business days before the start date, the penalty of 100% of the cost of the course will be applied, resulting in no amount of the fee being refunded. Refunds will not be allowed for “no-shows” in our public training or IVA courses. This cancellation policy is strictly enforced.

 

 

 

 

What happens if Agile Solutions needs to cancel or reschedule a course?

Agile Solutions reserves the right to cancel events for any reason at any time. Cancellation liability for Agile Solutions, if Agile Solutions cancels the course, is limited to the return of course payment ONLY. Agile Solutions will not reimburse registrants for any other costs including but not limited to any travel cancellation fees or penalties, including airfare and hotel costs. PLEASE NOTE: If your registration status is either “Approved”, or “Pending Payment” you have not been confirmed for the class and it is recommended that you do not make any travel arrangements until you have received a confirmation e-mail letting you know the class and registration is confirmed.

 

 

 

 

How will I know if my course has been rescheduled?

Agile Solutions reserves the right to reschedule or cancel a course due to low enrollment or if necessitated by other circumstances. Agile Solutions will contact you via e-mail or phone to inform you of the change of schedule. Once you have been notified you may reschedule or receive a full credit. Agile Solutions shall not be liable for any other costs including but not limited to any non-refundable travel arrangements if a course is rescheduled or cancelled.