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  • Calculate New, Returning, Lost, and Recovered Customers in #dax

    Calculating the number of new and returning customers is a recurring question. I would say this is a “classical” Business Intelligence problem, very common in marketing department. I worked on these problems with many customers, with small and large datasets, and I wrote a DAX Pattern “New and Returning Customers” showing how to calculate: New ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on June 26, 2014
  • Using Added Columns in #DAX Queries

    I had an issue in a query that reminded me a few details naming columns created by ADDCOLUMNS. When you specify a simple name in ADDCOLUMNS, you can use it later, for example in a SUMMARIZE or in a FILTER expression, such as in the following example (see the Value column): EVALUATE CALCULATETABLE (     ADDCOLUMNS ( ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on January 21, 2014
  • Dynamic Calculation of Inventory with #dax in #powerpivot and #ssas #tabular

    I recently wrote an article on SQLBI describing the dynamic calculation of stock inventory in DAX. With this technique, you can avoid creating a snapshot fact table just to store the inventory stock for every day and every product, creating a table that in certain business is huge and expensive, especially if you have to load it in memory. I also ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on August 27, 2013
  • DAX Studio for Excel 2013 finally available! #dax #excel #powerpivot #ssas #tabular

    I'm so happy that DAX Studio finally supports Excel 2013! As Darren Gosbell described in his blog, this release has a few internal changes that will better support future enhancements. I will port the code to capture the query plan for a query in this new release, but unfortunately it will require some weeks because I'm traveling a lot in these ...
    Posted to SQLBI - Marco Russo (Weblog) by sqlbi on May 4, 2013
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