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IBM Cognos Analytics 12: Modeling with Data Modules
Course Description
Overview
This course provides a high-level overview of the IBM Cognos Analytics v12 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 v12 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 managing relationships, advanced features and performance optimization, data enrichment with calculations and filters, creating groups and navigation paths, and managing data security.
Learners will gain hands-on experience through exercises that enhance their ability to create and customize data modules, review and modify column properties, creating calculations, filters and data groups, and adding column dependencies. These hands on activities ensure learners practice 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 v12 environment.
Objectives
After completing this course, learners should be able to:
- Describe the data modeling workflow, including identifying sources, enriching the module, and testing it.
- Navigate the Cognos Analytics v12 Data Modules user interface and upload a source file.
- Demonstrate how to create, edit, and optimize relationships in Cognos Analytics v12, including utilizing the Null Safe option and configuring cardinality for accurate data integration.
- Organize data modules by hiding, renaming, or removing fields.
- Use SQL to create a new table by writing and validating a custom query.
- Configure custom sorting for a specified column and validate its application in reports or dashboards.
- Utilize the Enhanced Expression Editor to create a custom calculation combining fields from two tables.
- Design a navigation path and validate functionality in dashboards.
- Configure row-level security filters, assign permissions, and utilize security definitions.
- Configure advanced data module functionalities, including column dependencies, bridge tables, and summary tables.
- 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 v12
- Unit 2: Creating Data Modules
- Unit 3: Managing Relationships
- Unit 4: Reviewing and Organizing Data Modules
- Unit 5: Advanced Features and Performance Optimization
- Unit 6: Customizing Data Modules with Filters and Calculations
- Unit 7: Grouping Data and Creating Navigation Paths
- Unit 8: Organizing and Sharing Data Modules
- Unit 9: Advanced Functionality in Data Modules
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 Badge Program →
This course is eligible for the IBM Cognos Analytics v12 Modeling with Data Modules - Course: B7320G
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Call us at 877-206-0106 or e-mail us at info@learnquest.com
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; 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.
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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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