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Hello Community,
I am trying to figure out a way to create a measure(s) to calculate product results by year...following its initial launch date.
The reason I have put "DAX Patterns" in the title is because this issue reminds me of something seen in the great DAX Patterns book/website however, I don't see this pattern mentioned in any of the literature. I am currently using the Month-related calculation patterns mentioned here in my model.
Here is a simple example of the situation:
Product 12345678910 launched in March 2018. I want to see sales volume by year, for years 1, 2, and 3. The pattern here would be:
Year 1 = March 2018 to February 2019.
Year 2 = March 2019 to February 2020.
Year 3 = March 2020 to February 2021.
I have sales volume results that go beyond year 3 but I do not need to see them - just the first 3 years of sales volume by year. I have thousands of products that have launched anywhere between 10/1/2017 to the current date and their results, so this would need to be dynamic based on launch date.
Is there a pattern I can use to achieve the results I want to see?
Thank you!
Solved! Go to Solution.
Hi @amitchandak
Thank you for your response. Unfortunately, this does not achieve what I am looking to do. However, I found a solution on SQLBI that layouts how to solve the issue mentioned above.
For those who might visit this post in the future, the link is below.
https://www.sqlbi.com/articles/yearly-customer-historical-sales-in-dax/
Hi @amitchandak
Thank you for your response. Unfortunately, this does not achieve what I am looking to do. However, I found a solution on SQLBI that layouts how to solve the issue mentioned above.
For those who might visit this post in the future, the link is below.
https://www.sqlbi.com/articles/yearly-customer-historical-sales-in-dax/
@Anonymous , You have to create bucket of the month or year like I have done in this example
Customer Retention Part 3: Period Of Stay – Cohort Analysis: https://community.powerbi.com/t5/Community-Blog/Customer-Retention-Part-3-Period-Of-Stay-Cohort-Analysis/ba-p/1393410
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