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SQLBI - Marco Russo

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Basket Analysis with #dax in #powerpivot and #ssas #tabular

A few days ago I published a new article on DAX Patterns web site describing how to implement Basket Analysis in DAX. This topic is a very classical one and is also covered in the many-to-many revolution white paper. It has been also discussed in several blog posts, listed here in historical order:

As usual, in DAX Patterns we try to present the required DAX formulas in a way that is easy to adapt to specific models. We also try to show a good implementation from a performance point of view. Further optimizations are always possible in DAX. However, in order to keep the model simple to adapt in different scenarios, we avoid presenting optimizations that would require particular assumptions or restrictions on the data model.

I hope you will find the Basket Analysis pattern useful. Even if you do not need it today, reading the DAX formula is a good exercise to check your knowledge of evaluation contexts in DAX. For example, describing how does it work the following expression is not a trivial task!

[Orders with Both Products] :=
    DISTINCTCOUNT ( Sales[SalesOrderNumber] ),
        SUMMARIZE ( Sales, Sales[SalesOrderNumber] ),
        ALL ( Product ),
        USERELATIONSHIP ( Sales[ProductCode], 'Filter Product'[Filter ProductCode] )

The good news is that you can use the patterns even if you do not really understand all the details of the DAX formulas you are using!
Any feedback on this new pattern is very welcome.

Published Thursday, June 12, 2014 10:25 AM by Marco Russo (SQLBI)


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About Marco Russo (SQLBI)

Marco Russo is a consultant, writer and trainer specialized in Business Intelligence with Microsoft technologies. He runs the SQLBI.COM website, which is dedicated to distribute resources useful for BI developers, like Integration Services components, Analysis Services models, tools, technical information and so on. Marco is certified as MCT, MCDBA, MCSD.NET, MCSA, MCSE+I.

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