Forum Discussion
Calculated Column Filter
Hi all,
I am hoping to get some help from other PBI users on the below. I have three sets of hisorical data which are refreshed on a periodical basis. The data sits in three different tables:
1. TOTAL
2. BUSINESS 1
3. BUSINESS 2
The three tables have the same amount of column as below.
| Area | Country | Business Unit | Month / Year | Income |
| April 2020 | ||||
| May 2020 |
The things that I need to do is to perform a future income projection based on the following formula (Assuming I now have historical data of the past 2 months, to find the income for month 3 and onward, I will also assume that it is a constant value):
Month 3 and onward income = Income (Total) - Income (Business 1) - Income (Business 2)
The requirement is such that I will output the data in 12 consecutive months:
| Month / Year | Income |
| June 2020 | Income (Total) - Income (Business 1) - Income (Business 2) |
| July 2020 | Income (Total) - Income (Business 1) - Income (Business 2) |
| ... |
However when I apply slicer filter, the value does not change (If I were to use MEASURE, the value will change accordingly, however this does not work for COLUMN). I am using COLUMN as I would like to display the values in consecutive 12 months.
I have tried to apply:
- filter = selectedvalues, this does not work
- relatedtable, this does not work too
Anyone with similar experience who might be able to give me some pointers, please? Thank you.
2 Replies
- lbendlinSuper User
How is this approach supposed to help you with income projection?
You can plot your existing data and then in the analytics section choose a forecast line.
Alternatively, pick an extrapolation formula and apply it. Predicting one month from the performance of another mont will be rather crude - you will want to consider seasonality too (ie you want to include the same month last year in your formula)
- AnonymousNot applicable
Thank you for your reply. The projection is a very crude one and makes assumption that in the following months, the expected income is equal to the average of the past data. Therefore the constant value - yes it is indeed not a very accurate one due to the big uncertainties in the business.
Anyway I have managed to resolve this by creating a new table to put all data into a single table. Thank you.