Course Prerequisites
Certainly! Below are the minimum required prerequisites for successfully undertaking the IBM Cognos Analytics: Author Reports with Multidimensional Data (v11.0) course. These prerequisites are designed to ensure that learners have a suitable foundation of knowledge and skills to build upon during the training:
- Basic knowledge of database concepts and familiarity with data processing concepts.
- Understanding of the fundamentals of report writing or experience with report authoring.
- Familiarity with the IBM Cognos Analytics platform (preferably having used it at a basic level).
- An introductory-level understanding of SQL or experience with a SQL-based query tool.
- Awareness of key business analytics concepts and the role of OLAP (Online Analytical Processing).
- Ability to navigate and interact with a Windows-based environment and use basic Windows and web functionality.
These prerequisites are not meant to be barriers to entry but rather to ensure that participants can fully engage with and benefit from the course content. If you have gaps in your knowledge, Koenig Solutions offers introductory courses that can prepare you for this advanced training.
Target Audience for IBM Cognos Analytics: Author Reports with Multidimensional Data (v11.0)
IBM Cognos Analytics: Author Reports with Multidimensional Data is designed for professionals looking to master OLAP reporting tools.
Target audience for the course includes:
- Business Intelligence (BI) Report Authors
- Data Analysts specializing in OLAP or multidimensional data structures
- BI Developers responsible for creating reports from OLAP data sources
- Data Architects who design and implement multidimensional data models
- IT Professionals seeking to enhance their skills in Cognos Analytics
- Analytics Consultants who advise clients on report authoring with dimensional data
- Database Professionals transitioning from SQL or MDX to Cognos Analytics
- Performance Management Specialists working with IBM Cognos suites
- Financial Analysts requiring advanced reporting techniques for multidimensional financial data
- Technical Support Staff who assist in the development and maintenance of Cognos reports
Learning Objectives - What you will Learn in this IBM Cognos Analytics: Author Reports with Multidimensional Data (v11.0)?
Introduction to Learning Outcomes
The IBM Cognos Analytics course empowers students to master multidimensional reporting, combining OLAP concepts with practical report authoring skills.
Learning Objectives and Outcomes
- Understand the differences between various data sources and models, focusing on OLAP dimensional structures.
- Learn to work with dimensional data items, expressions, and differentiate between IBM Cognos Analytics query language, SQL, and MDX.
- Gain proficiency in relational and dimensional report authoring styles and their appropriate use cases.
- Effectively manage and work with members, sets, and tuples within IBM Cognos Analytics reports.
- Comprehend the significance of report context and its impact on data presentation, considering default and root members.
- Develop skills in filtering dimensional queries, including techniques based on dimensions, members, and measure values, as well as using slicers.
- Utilize IBM Cognos Analytics dimensional functions to create sets, tuples, and perform arithmetic operations within OLAP queries.
- Navigate dimensional data using family and relative functions, including relative time functions, to provide context-aware data insights.
- Configure advanced drilling behaviors and define member sets for sophisticated report interactivity and data exploration.
- Implement drill-through reports allowing seamless navigation between detailed and summary data, and between reports using different data sources.
- Consolidate and apply all learned concepts in an end-to-end workshop, demonstrating a comprehensive understanding of multidimensional report authoring.
Target Audience for IBM Cognos Analytics: Author Reports with Multidimensional Data (v11.0)
IBM Cognos Analytics: Author Reports with Multidimensional Data is designed for professionals looking to master OLAP reporting tools.
Target audience for the course includes:
- Business Intelligence (BI) Report Authors
- Data Analysts specializing in OLAP or multidimensional data structures
- BI Developers responsible for creating reports from OLAP data sources
- Data Architects who design and implement multidimensional data models
- IT Professionals seeking to enhance their skills in Cognos Analytics
- Analytics Consultants who advise clients on report authoring with dimensional data
- Database Professionals transitioning from SQL or MDX to Cognos Analytics
- Performance Management Specialists working with IBM Cognos suites
- Financial Analysts requiring advanced reporting techniques for multidimensional financial data
- Technical Support Staff who assist in the development and maintenance of Cognos reports
Learning Objectives - What you will Learn in this IBM Cognos Analytics: Author Reports with Multidimensional Data (v11.0)?
Introduction to Learning Outcomes
The IBM Cognos Analytics course empowers students to master multidimensional reporting, combining OLAP concepts with practical report authoring skills.
Learning Objectives and Outcomes
- Understand the differences between various data sources and models, focusing on OLAP dimensional structures.
- Learn to work with dimensional data items, expressions, and differentiate between IBM Cognos Analytics query language, SQL, and MDX.
- Gain proficiency in relational and dimensional report authoring styles and their appropriate use cases.
- Effectively manage and work with members, sets, and tuples within IBM Cognos Analytics reports.
- Comprehend the significance of report context and its impact on data presentation, considering default and root members.
- Develop skills in filtering dimensional queries, including techniques based on dimensions, members, and measure values, as well as using slicers.
- Utilize IBM Cognos Analytics dimensional functions to create sets, tuples, and perform arithmetic operations within OLAP queries.
- Navigate dimensional data using family and relative functions, including relative time functions, to provide context-aware data insights.
- Configure advanced drilling behaviors and define member sets for sophisticated report interactivity and data exploration.
- Implement drill-through reports allowing seamless navigation between detailed and summary data, and between reports using different data sources.
- Consolidate and apply all learned concepts in an end-to-end workshop, demonstrating a comprehensive understanding of multidimensional report authoring.
