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Managing Decisions in IBM Operational Decision Manager V8.9
This course is also available as classroom course Managing Decisions in IBM Operational Decision Manager V8.9 (WB401G).
This course introduces business analysts to IBM Operational Decision Manager V8.9. You learn the concepts and skills that are necessary to capture, author, validate, and manage business rules with Operational Decision Manager.
IBM Operational Decision Manager provides a complete platform for managing business rules by helping to automate and govern decisions across processes and applications. This course focuses on the iterative nature of working collaboratively with business policy experts and development teams on rule projects. Through instructor-led presentations and hands-on lab exercises, you learn about the core features of Operational Decision Manager. You also receive intensive training in modeling business rule vocabulary, rule discovery, rule authoring, and rule governance and management. The course uses realistic scenarios and a case study to illustrate the principles and good practices for discovering, analyzing, and authoring business rules.
The lab environment for this course uses Windows 2012 Server R2 Standard.
For information about other related courses, see the IBM Training website:
If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course. http://www.ibm.com/training/terms
- Describe the benefits of implementing an Operational Decision Manager solution
- Identify the main user roles and tasks that are involved in designing and developing an Operational Decision Manager solution
- Explain modeling concepts and the UML notation that is relevant to modeling for business rules
- Define and implement object models for business rules
- Set up the rule authoring environment in Designer by working with decision services and synchronizing across development and business environments
- Transform business policy into rule statements and make sure that they form a complete and coherent set of rules
- Use the Operational Decision Manager rule editors to author business rules and decision tables
- Run tests and simulations in the Decision Center Business console to validate decision logic and rule changes
- Work with Decision Center decision service administration tools
- Manage user access and permissions in the Business console
- Use Operational Decision Manager tools to support decision governance
This course is designed for business analysts.
- Experience with identifying and defining business policies and rules
- A basic understanding of business models
Introducing IBM Operational Decision Manager V8.9
Exercise: Operational Decision Manager in action
Modeling for business rules
Exercise: Building the model on paper
Exercise: Implementing the model
Understanding decision services
Exercise: Setting up a decision service
Working with the BOM
Exercise: Working with the BOM
Introducing Decision Center
Exercise: Exploring the Decision Center Business console
Introducing rule authoring
Exercise: Understanding the case study
Discovering and analyzing rules
Exercise: Discovering rules
Exercise: Analyzing rules
Working with conditions in rules
Exercise: Working with conditions in rules
Working with definitions in rules
Exercise: Working with definitions in rules
Writing complete rules
Exercise: Writing complete rules
Authoring decision tables
Exercise: Authoring decision tables
Exercise: Authoring rules: Putting it all together
Running tests and simulations
Exercise: Running tests and simulations in the Business console
Working with Decision Center administrative tools
Exercise: Working with management features in Decision Center
Exercise: Managing user access in Decision Center
Introducing decision governance
Exercise: Working with the decision governance framework
- Duration: 32 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 3,260.00 USD
- Duration: 40 Hours
- Delivery Format: Classroom Training, Online Training
- Price: 4,075.00 USD
Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
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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.
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