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IBM Cognos Analytics: Modeling with Data Modules (v11.2)
Course Description
Overview
This course provides a high-level overview of the IBM Cognos Analytics Data Module tool and its underlying architecture to provide learners with the skills necessary to master data modeling using the web-based, self-service capabilities of IBM Cognos Analytics Data Modules. Learners will explore the essential steps in building data modules, from understanding the purpose and workflow of data modeling to creating, refining, and optimizing data structures. The course covers various topics, including relationship joins, data enrichment with calculations and filters, creating navigation paths, and managing data security.
Learners will gain hands-on experience through exercises that enhance their ability to create and customize data modules, ensuring consistency and usability for reporting, dashboarding, and exploration purposes.
By the end of this course, learners should be proficient in developing data modules that integrate multiple data sources, support business analysis, and facilitate informed decision-making within the IBM Cognos environment.
Objectives
After completing this course, learners should be able to:
- List several options for data modeling in Cognos Analytics
- Explain the data modeling workflow
- Explain how to use AI to discover related tables
- Describe relationships and relationship joins
- Create and manage custom tables
- Describe how to create calculations and filters
- Describe how to create Navigation Paths
- Explain how to relink a Data Module
- Create and use column dependencies
- And more…
Audience
This course is intended for data professionals, business analysts, and technical users who are involved in data preparation, reporting, and business intelligence within their organization.
Prerequisites
- Participants should have the following skills:
- An understanding of your organization's business intelligence process and reporting needs
- Experience using basic Windows functionality
- An understanding of Cognos reporting
Topics
- Course Introduction
- Unit 1: Data Modeling in Cognos Analytics
- Unit 2: Create a Data Module
- Unit 3: Modify and Refine a Data Module
- Unit 4: Create Relationship Joins
- Unit 5: Customize Data Modules using Filters and Calculations
- Unit 6: Group Data and Create Navigation Paths
- Unit 7: Share a Data Module
- Unit 8: Advanced Functionality in Data Modules
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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