Corporate IBM Cognos Analytics Training Course

1. Introduction to data warehousing concepts

1. Definition and importance of data warehousing
2. Key components of a data warehouse
3. Differences between databases and data warehouses

2. Understanding data modeling

1. Types of data models: Conceptual, logical, and physical
2. Star schema vs. snowflake schema
3. Best practices in data modeling for analytics

3. Overview of ETL processes

1. Explanation of Extract, Transform, Load (ETL) processes
2. Tools and technologies used in ETL
3. Challenges and solutions in ETL

1. Exploring Cognos architecture

1. Components of Cognos Business Intelligence suite
2. Cognos BI architecture layers
3. Integration with other systems

2. Managing the Cognos environment

1. Deployment and configuration
2. Performance tuning and optimization
3. Backup and recovery procedures

3. Security and access permissions

1. User roles and security profiles
2. Implementing data-level security
3. Audit logging and compliance

1. Basics of Query Studio

1. Navigating the Query Studio interface
2. Basic functionalities and tools
3. Setting preferences and options

2. Creating ad hoc reports

1. Steps to create a basic report
2. Selecting and organizing data items
3. Simple data formatting options

3. Understanding data sources

1. Types of data sources in Cognos
2. Connecting to data sources
3. Managing data source connections

1. Designing simple list reports

1. Basic components of a list report
2. Sorting and grouping data
3. Adding summary calculations

2. Generating grouped and summarized reports

1. Techniques for data aggregation
2. Creating multi-level grouped reports
3. Summary functions and their applications

3. Applying filters and prompts

1. Types of filters and how to apply them
2. Creating and using prompts for interactive reports
3. Advanced filtering techniques for precise data analysis

1. Adding charts and visualizations

1. Types of charts and when to use them
2. Customizing charts for better data presentation
3. Incorporating visualizations into reports

2. Customizing report layouts

1. Techniques for effective report layout design
2. Utilizing templates and styles
3. Conditional formatting for dynamic data display

3. Integrating external data

1. Methods for incorporating external data into reports
2. Challenges and considerations in data integration
3. Ensuring data accuracy and consistency

1. Introduction to Framework Manager

1. Overview of Framework Manager capabilities
2. The role of Framework Manager in Cognos
3. Navigating the Framework Manager environment

2. Creating relational models

1. Designing a project and importing metadata
2. Building and refining relational models
3. Publishing models for use in Cognos BI

3. Managing packages

1. Creating and configuring packages
2. Setting package properties and security
3. Distributing and maintaining published packages

1. Techniques for advanced report design

1. Utilizing advanced layout and design options
2. Enhancing reports with scripting and expressions
3. Implementing drill-through and master-detail relationships

2. Interactive reports and dashboards

1. Designing interactive dashboards
2. Custom widgets and controls for user interaction
3. Dashboard personalization and customization

3. Dynamic reporting with prompts and variables

1. Advanced prompt types and their configuration
2. Using variables for dynamic content filtering
3. Creating highly interactive and user-driven reports

1. Analytical report creation

1. Building reports with Analysis Studio
2. Analytical functions and their applications
3. Visual analytics and exploration techniques

2. Multidimensional analysis

1. Understanding OLAP and multidimensional concepts
2. Navigating dimensions and measures
3. Slicing, dicing, and drilling through data

3. Working with cubes

1. Introduction to cube technology in Cognos
2. Creating and publishing cubes
3. Best practices for cube design and maintenance

1. Automating tasks with Event Studio

1. Overview of Event Studio capabilities
2. Setting up events and triggers
3. Automating report execution and distribution

2. Creating agents for event monitoring

1. Configuring agents to monitor data changes
2. Actions to take on event detection
3. Managing and scheduling agents

3. Notification and action setup

1. Designing notifications for events
2. Configuring actions (e.g., email alerts, report generation)
3. Best practices for event management and notification