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How to calculate Monthly Aggregate of percentage indicator

Community Alums
Not applicable

Hi Team,

I have an indicator, which displays Percentage of calls attended by agent.

Below is formula.

[[GSDKPI_Number of calls answered]]/[[GSDKPI_Total Calls Received]]*100

Daily Number are coming correct for all the agents.

But I also want Monthly numbers for at least 3 months, so I am doing an aggregation as below. But I am not able to find "By month SUM" in Time series.

Please let me know how can I achieve this?

find_real_file.png

 

Regards,

Sindhuja.

1 ACCEPTED SOLUTION

If you are applying the formula to the result, it shouldn't matter.  If you do not apply it to the result, you will get a weird (probably not what you want) answer.  This shows the difference:

find_real_file.png

View solution in original post

12 REPLIES 12

Tushar Hirpurk1
Mega Guru

Hi Sindhu,

Has data present in your instance for months?

           Because a time series that does not include data from partial periods must have data from the beginning and the end of the period. For example, a By month SUM time series aggregation requires scores from the start and the end of the month to be present. Otherwise that month is not included. A time series aggregation that includes data from partial periods, such as By month SUM+, needs only data from one day in the period.

 

Regards,

Tushar

Community Alums
Not applicable

Hi Tushar, 

Yes data is present in month for the system.

Also numbers are coming and working fine for one month if I select "Pivot Scorecard" in Visualization and selecting indicator below. But I need numbers for 3 months.

find_real_file.png

 

Regards,

Sindhuja.

What condition have you put in data collection job?

the relative start will be 3 months ago.

 

find_real_file.png

 

Please mark correct if it helps.

 

Regards,

Tushar

Community Alums
Not applicable

It is 2 months ago.

Does it make a difference if it is not 3?

I should be able to configure it and data should be displayed for 2 months right?

 

Regards,

Sindhuja.