IBM Cognos Framework Course Overview

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.