IBM Cognos Framework Course Overview

IBM Cognos Framework Course Overview

The IBM Cognos Framework Manager course is designed to equip learners with the knowledge and skills required to model metadata for predictable reporting and analysis results using IBM Cognos. Participants of the Cognos course online will dive into the essentials of performance management, understand the architecture and components of IBM Cognos BI, and learn to define user roles and extend the software's capabilities. The course's comprehensive curriculum covers the identification of common data structures, the gathering of business requirements, and the creation of a baseline project for effective data management.

By engaging in Cognos training online, learners will gain hands-on experience in preparing reusable metadata, modeling for predictable results, implementing time dimensions, and setting up determinants. The course also focuses on creating presentation views, working with different query subject types, and setting security within Framework Manager. Advanced topics such as managing OLAP data sources, optimizing SQL queries, and using advanced parameterization techniques are also included. By the end of the course, participants will be able to manage packages, work in a multi-modeler environment, and optimize Framework Manager models, all essential for proficient use of IBM Cognos in a business setting.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 40 Hours)
  • Per Participant

♱ Excluding VAT/GST

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You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

Below are the minimum required prerequisites for successfully undertaking the IBM Cognos Framework Manager course:


  • Basic knowledge of database concepts and SQL, to understand how to interact with data sources.
  • Familiarity with data warehousing and business intelligence concepts, to grasp the reporting and analysis objectives that the course covers.
  • An understanding of the importance of data modeling in supporting business requirements in a BI environment.
  • Some experience with IBM Cognos BI or other similar BI tools, although not mandatory, would be beneficial for context and application.
  • Computer literacy and the ability to navigate the Windows operating system environment.
  • Logical thinking and problem-solving skills to apply during hands-on exercises and project work.

Please note that while these prerequisites are aimed at ensuring a productive learning experience, our courses are designed to accommodate a range of skill levels, and instructors will provide support to help all students succeed.


Target Audience for IBM Cognos Framework

The IBM Cognos Framework course is designed for professionals involved in business intelligence and data modeling.


  • Business Intelligence (BI) Developers
  • Data Modelers
  • Analytics Professionals
  • Report Authors
  • BI and Data Warehouse Architects
  • Database Administrators
  • Performance Management Consultants
  • IT Managers overseeing BI solutions
  • Data Analysts seeking to understand data structures in Cognos
  • Solution Architects involved in BI implementations
  • Technical Consultants who need to create and maintain BI frameworks
  • Systems Analysts looking to leverage Cognos for performance management solutions


Learning Objectives - What you will Learn in this IBM Cognos Framework?

Course Learning Outcomes and Concepts

This IBM Cognos Framework course empowers participants with a comprehensive understanding of IBM Cognos BI, including its architecture, data modeling, and security protocols for optimized performance management.

Learning Objectives and Outcomes

  • Understand the role of IBM Cognos in performance management and its various components and architecture.
  • Define user groups and roles within IBM Cognos BI and learn techniques to extend its capabilities.
  • Identify and examine characteristics of different data structures, including operational databases and dimensional data sources.
  • Develop skills to gather key modeling recommendations and define data access strategies based on reporting requirements.
  • Create and enhance a baseline project in the Framework Manager, establishing a structured approach to metadata.
  • Prepare reusable metadata, ensuring correct relationships and efficient data filtration for prompt responses.
  • Recognize and resolve common data modeling issues, such as multi-fact queries and reporting traps, to achieve predictable results.
  • Master the creation of virtual star schemas and consolidate metadata for a simplified presentation layer.
  • Implement time dimensions effectively and specify determinants to maintain data granularity and accuracy.
  • Establish security protocols within Framework Manager to control access at both package and object levels.
  • Gain expertise in managing OLAP data sources, optimizing SQL generation, and advanced parameterization for dynamic data retrieval.
  • Engage in model maintenance and extensibility, including performing basic model management and incorporating new data sources.
  • Enhance skills for working in a multi-modeler environment, managing Framework Manager packages, and optimizing model performance.
  • Leverage additional modeling techniques for multilingual metadata and utilize external resources for continued learning and application.