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I have a report date field {ReportDt} that shows 2/1/2022 right now as sample data . There are two contact date fields, {DTlastContactFam} and {DtLastSuccessfullContactFam}. There can be NONE in these date fields if no contact was made, or a date if contact was made. There is also a [Tier] field that is the criteria.
I am trying to build a table that will show the count for for all the Tiers down the left and then count how many had no contact for the month. This would mean *BOTH* contact date fields could be either none or their date had to be prior to the date of {reportdt} . I'm even trying it by Tier as columns to test the code and I can't get it even close. One of the issues is how to handle if there is more than one month of data. I tried Getfieldselections(ReportDt) in the syntax and then filtering on the report for February but I'm stuck.
This worked if I just wanted contact for a specific contact date for just one of the columns but I can not scale up
Count({<[Tier-TierNum]={'4'},[ReportDt]={'2/1/2022'}, DTLastAttemptContactFam={'10/19/2021'}>}[Tier-TierNum])
Please post some sample data
Here is some sample data. The 1-4 columns on the right are reflecting what the answers should be for the specific Tier. (If yes then there was contact for that criteria) . Tier 1-3 are the same, Tier 4 is different.
ReportDt | DTLastAttemptContactFam | DtLastSuccessfullContactFam | Tier | 1 | 2 | 3 | 4 | |
Feb-22 | NONE | NONE | 3 | Yes | ||||
Feb-22 | 01/05/2022 | 01/05/2022 | 4 | no | ||||
Feb-22 | 10/21/2021 | 10/21/2021 | 2 | yes | ||||
Feb-22 | 02/09/2022 | 10/18/2021 | 1 | no | ||||
Feb-22 | 02/09/2022 | 10/18/2021 | 4 | no | ||||
Tier 1: no contact in the month | ||||||||
Tier 2: no contact in the month | ||||||||
Tier 3: no contact in the month | ||||||||
Tier 4: no contact in 3 months |
I need to be able to count all of these by the way, not just get yes or no. I think perhaps each Tier may get a row and then a count beside with a Total of those who are out of compliance for making contact. So they outcome would be a table like this:
Tier 1 = 45
Tier 2 = 100
Tier 3 = 20
Tier 4= 15