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I am working with a file containing event data associated with agents, and have recently gotten access to a second table containing agent hierarchy data. With this hierarchy, I will now need to provide a filter to exclude agent managers from the data. The issue I'm trying to avoid is that agents are very often promoted to managers, so in a given date range, I want the filter to exclude the dates when they were a manager but include dates when they were an agent. Below are sample tables with the basic structure I'm working with.
Event table:
Hierarchy table, where "Date" is the last day of the associated status (updates daily):
In this sample file, applying a filter to retrieve only agent conversations from 1/1/2022 through 9/6/2022, I would expect the following result:
Bob's call on 1/4/2022 is excluded because it was his first day as a manager, and Janet's call is excluded because she has always been a manager.
I might be missing something obvious, but I haven't been able to find a way to filter in this way, and even creating the relationships between the tables is problematic because the hierarchy table has multiple entries for agent name. Any thoughts?
Solved! Go to Solution.
Hi, @hawkwolfe
Try calculated columns:
date_agent = LOOKUPVALUE('Hierarchy table'[Date],'Hierarchy table'[Name],'call agent date'[agent],'Hierarchy table'[Status],"agent")
filter = IF('call agent date'[date]<='call agent date'[date_agent],1,0)
Then apply the filter to visual filter pane.
Best Regards,
Community Support Team _ Eason
Hi, @hawkwolfe
Try calculated columns:
date_agent = LOOKUPVALUE('Hierarchy table'[Date],'Hierarchy table'[Name],'call agent date'[agent],'Hierarchy table'[Status],"agent")
filter = IF('call agent date'[date]<='call agent date'[date_agent],1,0)
Then apply the filter to visual filter pane.
Best Regards,
Community Support Team _ Eason
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