Power BI, similar to Power Pivot, has a look at the tables and their relationships. Its advantage is that, from the very beginning, automatically detects relations between tables based on the name of the column that it discoveres as keys. From November 2018 the new, significantly enhanced Relationship view is offered, so in the following text it will be about what are its features and what is new.
If you’ve thought that, when you start using PowerPivot, will get rid of array lookup functions you were deadly wrong! Although the concept of a data model does not go hand in hand with the need to use these class of functions, it is sometimes necessary to search the arrays. To do this you will use the LOOKUPVALUE function, and how to use it, in combination with the WEEKDAY function, you will find out in the text that follows.
Slicers are graphic objects that are used as an interactive filters for filtering reports in Pivot and Power Pivot reports. In combination with certain DAX functions they can be used for setting the parameters of the calculation. The following recipe will show you how to do a sales report in which, according to chosen exchange rate, you can see results in different currencies. To test a status of a slicer will be used function HASONEVALUE.
Reports often require that in addition to the usual review of the sales we create running total, i.e. to track cumulative growth of sales from beginning of the month, quarter or year. For this purpose we use the Time Intelligence functions DATESMTD, DATESQTD and DATESYTD by which we can track cumulative sales growth since the beginning of the given period. If you want to find out more please read the recipe that follows…
Time Intelligence functions are often used for reviewing implementation of the goals at the same time last year. In what follows we will mention a few of DAX functions that cover this area. First, there is a function SAMEPERIODLASTYEAR which should monitor business results in the same period last year. And then there are functions DATEADD and PARALLELPERIOD by which we can monitor the achievement of objectives in the previous or next period (month, quarter, or year) in relation to the current data.