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IBM Planning Analytics: Design Design and Develop Models in Planning Analytics Workspace (v2.x)
Course Description
Overview
This course explores the IBM Planning Analytics Workspace, how to create dimensions, cubes, and business rules. Learners will also delve into loading and maintaining data, optimizing their business rules, and learn how to transfer data into a model. This course also explains how to customize drill paths, using rules for advanced modeling, and converting currencies. Finally, learners will learn how to create models for different fiscal requirements.
Objectives
By the end of this course, learners should be able to:
- Identify the TM1 position in a performance management system
- Describe TM1 components and architecture
- Manually create dimensions, import, and edit them
- Construct and edit a cube
- Identify data sources
- Create processes to update and maintain a model
- Review, disable, and enable auto-generated rules
- Optimize rules using a SKIPCHECK statement
- Troubleshoot rules and feeders
- Link cubes with different dimensions
- Use Planning Analytics as a data source
- Push data to a cube
- Create a drill process and drill assignment rules
- Utilize a lookup cube and attributes in rules
- Create rules for currency conversion
- Use Planning Analytics to reduce maintenance
- Use discreet time dimensions
- Implement a continuous time dimension model
Audience
This course is intended for beginners and professionals interested in intuitive solution designs for analytics, planning, and profitability.
Prerequisites
- Knowledge of your business requirements
- Recommended: IBM Planning Analytics: Analyze Data and Create Reports (v2.x) [P8457G]
Topics
This course will cover:
- An Overview of IBM Planning Analytics
- Creating Dimensions
- Building Cubes
- Loading and Maintaining Data
- Adding Business Rules
- Optimizing Business Rules
- Transferring Data into your Model
- Customizing Drill Paths
- using Rules for Advanced Modeling
- Converting Currencies
- Modeling for Different Fiscal Requirements
Recognition
When you complete the Instructor-Led version of this course, you will be eligible to earn a Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.
Learn more about our Data Reporting Badge Program →Related Courses
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IBM Planning Analytics: Analyze Data and Create Reports (v2.x)
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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 365 DAYS TO ACCESS 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.
Upon receipt of the Order Confirmation Letter which includes your Enrollment Key (Access code); the course begins its twelve (12) month access period. IMPORTANT!!! If your course provides access to a hands-on lab (Virtual Lab Environment), you will have a specific number of days (typically 30 days) on the remote lab platform to complete your hands-on labs. Do not start your lab until you are ready to use your lab time effectively. Time allotted in the virtual lab environment will be indicated once you apply the enrollment key. 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. Note: This does not add additional days to your Lab Environment time frame.
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