Web-based training
Contains: Instructional and interactive content, demonstrations and hand-on simulated exercises.
This course provides business users with knowledge of metadata modeling concepts and how to model metadata using IBM Cognos Analytics 11. Participants will learn the full scope of the metadata modeling process, from creating Data Sources, creating Data Modules, to the sharing of metadata to other users, facilitating reports and analyses by themselves and colleagues. Participants will learn to use data servers and uploaded files as data sources, and to add intent to their data model. They will learn how to add tables to their models, set and modify object properties, create calculations, identify joins, as well as how to clean, format, and group their data for reporting purposes.
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
1: The IBM Cognos Analytics 11 User Experience
Overview of IBM Cognos Analytics 11
Search and Navigate IBM Cognos Analytics
Reporting and Dashboarding
Modeling and Administration
2: Create a Data Module: Part 1
Identify Data Modules
Identify Data Sources
Create a Data Server
3: Create a Data Module: Part 2
Select a Data Source for Your Module
Select a Data Server
Upload and Select a File
Select Other Data Modules
Identify and Add Intent
4: Understand Modeling Basics
Identify Cognos Analytics Modeling Strategy
Add Tables to a Data Module
Identify Column Usage Types
5: Explore Additional Modeling Concepts
Share Content
Explore Modeling Object Properties
Identify Joins
6: Customize Data Modules
Identify the Need to Customize
Examine Module Icons
Create Calculations
Clean and Format Columns
Create Custom Data Groupings
Please refer to course overview
Report authoring experience
Understanding of subject matter business data (Recommended)
Authors