[Free] Can We Convert Ibm Cognos Analytics Reports To Power Bi ?

A exploration journey into translating Cognos reports into Power BI dashboards using AI & reverse-engineering techniques – Free Course

What you’ll learn

  • The practical and conceptual challenges of cross-platform BI translation Gain insight into what’s possible, what’s not, and where automation may help
  • How to design and prototype a translation pipeline using scripting or LLMs Explore techniques to map Cognos logic to Power BI, including AI-based transformation
  • Why you should extract and interpret Cognos report specifications in XML format Understand the structure of Cognos dashboards, including queries, layout logic
  • Why is it difficult to convert IBM Cognos Analytics to Microsoft Power BI reports/dashboards and vice versa

Requirements

  • Basic understanding of BI tools Familiarity with at least one business intelligence platform (e.g., Power BI, Cognos, Tableau, or similar).
  • Experience with data modeling or report development Prior experience building dashboards, creating queries, or working with data visualization logic.
  • Comfort with reading structured text formats Ability to read and interpret XML, JSON, or similar markup/data languages.
  • Optional but helpful: some scripting or programming skills Knowledge of Python or another scripting language is useful for experimenting with automation or LLM integration.

Description

This course investigates the unconventional yet compelling idea of converting IBM Cognos reports and dashboards into Microsoft Power BI — two enterprise-grade BI tools with fundamentally different architectures but overlapping goals. While no official bridge exists between these platforms, this course explores how far one can go using report specifications (Cognos XML exports), metadata modeling, and AI-driven code translation.

Students will delve into the inner structure of Cognos report specs, learn how to export and interpret them, and then explore Power BI’s JSON-based models, DAX expressions, and data schemas. Along the way, we’ll experiment with training large language models (LLMs) to understand Cognos outputs and attempt to recreate similar visuals and logic within Power BI using custom scripts or automated pipelines.

This is not a tutorial with a guaranteed outcome — it’s a hands-on research journey for data engineers, BI developers, and AI tinkerers curious about interoperability, AI in BI development, and the semantic translation of business logic across ecosystems. If you’re open to exploration and experimentation, this course invites you to push the boundaries of BI tooling and automation.

By the end, students will have a better grasp of both platforms and an informed perspective on the feasibility (and challenges) of cross-BI translation.

Author(s): Amine Baïna
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