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BeIntel
Frequent Visitor

Aging for Closed Tickets but Open at the End of Particular Month

Hello All,

 

I am trying to create a report, where I'd like to show the total count of open tickets (backlogs) at the end of each month irrespective of current status as shown below:

 

Current Calendar Month

0-5 days

6-10 days

11-30 days

>1 Month

> 3 months

> 6 months

Escalated

Grand Total

IT Support Team [without Alerts]

307

174

391

489

275

115

17

1751

SD Team 1

132

34

38

20

0

0

1

224

SD Team 2

63

16

24

9

3

0

0

115

SD Team 3

2

2

1

0

0

0

0

5

SD Total

197

52

63

29

3

0

1

344

IT Total

307

174

391

489

275

115

18

2095

SD Backlog Efficiency

64.17%

29.89%

16.11%

5.93%

1.09%

0.00%

5.56%

16.42%

 

New Date for Aging - If the ticket hasn't been resolved, eomonth date is considered for calculating Backlog age else resolved date is considered. I have put a sample data below to explain the scenario better. Please check and let me know, if you require any additional info.

 

Is there an easy way to find out the backlog age instead of creating new 6 columns to find the backlog age?

 

Ticket KeyCreated DateResolved DateEOM (based on created date)New Date for AgingAging on eom Jul 23New Date for AgingAging on eom Aug 23New Date for AgingAging  on eom Sep 23
CC105-Jul-2302-Oct-2331-Jul-2331-Jul-232631-Aug-235730-Sep-2387
CC205-Jul-23 31-Jul-2331-Jul-232631-Aug-235730-Sep-2387
CC305-Jul-23 31-Jul-2331-Jul-232631-Aug-235730-Sep-2387
AB101-Aug-2301-Aug-2331-Aug-23  01-Aug-23001-Aug-230
AB201-Aug-2305-Sep-2331-Aug-23  31-Aug-233105-Sep-2336
AB301-Aug-2301-Aug-2331-Aug-23  01-Aug-23001-Aug-230
AB401-Aug-23 31-Aug-23  31-Aug-233130-Sep-2361
AB502-Sep-2302-Sep-2330-Sep-23    02-Sep-230
AB602-Sep-2302-Sep-2330-Sep-23    02-Sep-230
AB702-Sep-2302-Oct-2330-Sep-23    30-Sep-2328
AB802-Sep-2302-Oct-2330-Sep-23    30-Sep-2328
AB902-Sep-2302-Oct-2330-Sep-23    30-Sep-2328
2 REPLIES 2
giammariam
Solution Sage
Solution Sage

Hi @BeIntel, I'm trying to make sure I understand the scenario. Is your source dataset structured with the following fields? 

Ticket KeyCreated DateResolved Date


And then are these fields ones that you created to try to solve the problem?

EOM (based on created date)New Date for AgingAging on eom Jul 23New Date for AgingAging on eom Aug 23New Date for AgingAging  on eom Sep 23


I'm happy to help, I just want to be sure that I understand what you're after. 

If you are able to provide a sanitized .pbix file (here's how) structured similarily to your actual .pbix, it'd be a huge help.



Madison Giammaria
Proud to be a Super User 😄
LinkedIn

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Hi @giammariam , yes you're right. I have a data with the fields - Ticket#, Created, Resolved, Status.

 

Trying to find out the backlog of each month (at the end of month while selecting in slicer) with aging slots irrespertive of current status of the ticket. 

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