Introduction to Analytical Decision Management (v18) SPVC

  • Tuition USD $575 GSA  $556.68
  • Reviews star_rate star_rate star_rate star_rate star_half 839 Ratings
  • Course Code 0W114G-SPVC
  • Duration 2 days
  • Available Formats Self Paced
This course is available in other formats
Instructor-Led Classroom & Virtual
Introduction to Analytical Decision Management (v18) (0S114G)

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

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.

Skills Gained

Please refer to course overview

Who Can Benefit

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
 

Course Details

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
 

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Very clean, great cafeteria and well sorted, very kind staff. The bathrooms have to be expanded as they might get crowded sometimes

The course was overall very good, I would recommend breaking some topics into their own respective courses such as cloudformation as 1 lecture does not do it justice.

Very educational and enjoyable. Format was excellent; recommend to anyone who wants to get serious about learning AWS.

AZ-300 course experience was good . Eylem Uysal was very good, the best instructor and i had really good experience attending course and classes with Eylem.

Everything went well. Enrollment process was easy and I always felt welcomed throughout the whole experience.

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