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Hello Community - So my situation is this:
We have SF but do not have the historical module implemented for whatever reason. So instead, we have a monthly "snapshot" of our opportunities that gets automatically exported out on the last day of each month. Of course each of these snapshots contains many of the same date values as the snapshot for the previous months. So the June snapshot file will contain opportunities estimated to close in July, Aug, Sept, etc....and then the July file will contain those same opportunities (plus any additional ones that have come into the picture since the June snapshot file).
I have all of the year's snapshots (January - September) in one appended file.
You can likely see where I'm headed. If I just listed out the months in a standard table, the values would be huge because each month's values get replicated several times over.
I do have each file labeled (Jan 2022, Feb 2022, etc).
My end goal is that I need to compare the change in values between each file period, by looking at each file month independently.
For example, the January file might show this:
Opportunity Name Value Probability
Opportunity A $34,500 70%
And the February File might show this
Opportunity A $31,000 80%
I need to compare how this particular opportunity changed from one file month to the next.
Solved! Go to Solution.
@Anonymous So, perhaps what you need to do is import each file independently and add a Month and probably Year column. Then set them to not load in the data model and create an Append query for all of them that does load. Then you can compare opportunities across months/years.
@Anonymous So, perhaps what you need to do is import each file independently and add a Month and probably Year column. Then set them to not load in the data model and create an Append query for all of them that does load. Then you can compare opportunities across months/years.
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