Multi-language use cases in data present a challenge for many organizations, often tied to the master data of a company for their products, processes, or customers.

Using just one language (e.g., English) is often the easy approach and reduces effort. However, to make data and reports more accessible, it can be necessary in some cases to implement translations.

The session will address and demonstrate the following topics:

- Decision points for choosing a single-language vs. multi-language approach for a Power BI report.
- Describing the capabilities and limitations of the built-in translation features of the tabular model.
- Showcasing a Power BI report where field parameters are used to control the language (and/or row-level security).
- Using notebooks in combination with a REST API to DeepL to enhance existing dimensions with relevant translations.
- Combining business glossaries and AI translations, with human oversight when needed.
- Summarizing the pros and cons of different scenarios and providing the main decision points.