When should I use DAX?

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DAX, a powerful tool for data analysis, offers a range of functions designed to cater to intricate calculation needs on a granular level. Specifically, it enables users to perform customized calculations on individual rows, offering flexibility and precision.

These calculations can be executed using the current row value or a related value as an argument, allowing for context-sensitive computations. This feature is particularly useful when dealing with datasets that require detailed analysis based on specific row attributes.

Understanding the concept of context is crucial when utilizing DAX functions. It refers to the environment or the set of rules within which a calculation takes place, ensuring that the outcome accurately reflects the intended purpose.

Apart from performing row-level calculations, DAX also boasts a vast library of functions that return tables instead of single values. This capability is invaluable for generating insights from multiple rows of data, enabling a comprehensive analysis of complex datasets.