Forum Discussion
Sales Productivity Calculatin Using DAX
Hi,
I have just started learning Power BI and I am finding it very difficult to calculate Sales Productivity by month.
I have 2 tables like Sales Booking (which has Month, Booking Amount, Channel, TL Name, Staff Name) and HeadCount (which has a month wise headcount, Channel, TL Name, Staff Name). Now, I need to do a division of Total Sales Amount (by Month) against Total Headcount for the month. This has to be in a bar chart, which shows how much the Sales amount is booked by an agent on an average every month.
I have tried so many combinations. But I am unable to get it right. The problem I found is either the Sales Amount or the headcount is getting summed up across all months and I have got a result which is not right. I want to supply Jan Sales Amount vs. Jan headcount and so on every month.
Kindly help.
Formulas:
- Anonymous6 years ago
Hi dramnath_1981 ,
I tried to create some test tables and data according to your description but failed.
Here's my test tables, could you tell me the difference between them and your table structure?
Otherwise, could you please share your PBIX to me if you don't have any Confidential Information?
If so, please upload your files to One Drive and share the link here.
Best Regards,
Jay
2 Replies
- AnonymousNot applicable
Hi dramnath_1981 ,
I tried to create some test tables and data according to your description but failed.
Here's my test tables, could you tell me the difference between them and your table structure?
Otherwise, could you please share your PBIX to me if you don't have any Confidential Information?
If so, please upload your files to One Drive and share the link here.
Best Regards,
Jay
- dramnath_1981Frequent Visitor
Hi Jay,
Thank you so much for your help. I figured out the issue while creating sample data for you.
I did a mistake in the connection between 2 tables. Instead of joining month from both the tables, I had several connections like RO Code and TL Codes which is a many to many relationships.
When I joined the Month from both the tables, it came perfectly well.
Regards, Ramnath