Rounding Errors And Data Type Conversions In DAX

Marco Russo explains the rules behind data type conversions in DAX:

Any DAX formula involving arithmetical operators ( + – * / ) might produce a result in a different data type. While this is obvious when you have different data types in the arguments, it could be less intuitive when the arguments have the same data type. Indeed, the result might have a different data type. This is important. Indeed, in a complex expression there could be many operators, but every operator defines a single expression that produces a new data type – that is the argument of the next operator. We will start looking at the resulting data type of the standard operators, showing a few examples later of how they could affect the result in a more complex expression.

Marco shows some relatively drastic differences:  hundreds of dollars when dealing with millions (and any company okay with being off by hundreds of dollars when dealing with millions, please mail me a check for hundreds of dollars).

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