I have a dataset with transactional data (Df), which is connected to a date table. The date table goes beyond the dates the transactional data.
I have created MTD and YTD measures, which aims to compare dates up to the exact date of the last updated date in the transactional data, comparable with all previous years. I have thus created the following measures
YTD:
Where dateint is the date in integers, and ispastdays is:
@Veblengood , if you have date you should use time intelligence with date table
example
MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD('Date'[Date]))
last MTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESMTD(dateadd('Date'[Date],-1,MONTH)))
YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD('Date'[Date],"12/31"))
Last YTD Sales = CALCULATE(SUM(Sales[Sales Amount]),DATESYTD(dateadd('Date'[Date],-1,Year),"12/31"))
Time Intelligence, DATESMTD, DATESQTD, DATESYTD, Week On Week, Week Till Date, Custom Period on Period,
Custom Period till date: https://youtu.be/aU2aKbnHuWs
Power BI — Year on Year with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-ytd-questions-time-intelligence-1-5-e3174b39f38a
https://www.youtube.com/watch?v=km41KfM_0uA
Power BI — Month on Month with or Without Time Intelligence
https://medium.com/@amitchandak.1978/power-bi-mtd-questions-time-intelligence-3-5-64b0b4a4090e
https://www.youtube.com/watch?v=6LUBbvcxtKA
Power BI release plans for 2023 release wave 1 describes all new features releasing from April 2023 through September 2023.
Make sure you register today for the Power BI Summit 2023. Don't miss all of the great sessions and speakers!
Join the biggest FREE Business Applications Event in LATAM this February.
User | Count |
---|---|
210 | |
49 | |
45 | |
44 | |
42 |
User | Count |
---|---|
262 | |
211 | |
103 | |
79 | |
66 |