Disclamer
Data come from Freshdesk. The historical data start :
in April 2016 for IS tickets
in October 2016 for Processes tickets
The data for all tickets opened in 2016 are only accurate on volume and Evolution (number of tickets opened, closed and ongoing) since we don't have the historical status for tickets before 2017.
Resolution time et SLA are correctly calculated from 01.2017
Some tickets are excluded when they are simultaneous created with a status closed. We take them into account into the volume but not into the resolution time and SLA KPIs
Business Hours |
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Business hours are based on the end-user timezone coming from the "requester" or "contact" profile in Freshdesk. Some contacts do not have a zone. In this case, the timezone is set to Paris / Brussels.
|
Active and Inactive status |
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These status are key to calculate the KPIs Resolution time and SLA based on either Business hours or Total cycle timeActive Status :
Inactive Status :
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| GBU, Country and Site |
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GBU, Country and site are coming from the ticket. If the ticket field is empty, we use the GBU, Country and site of the requester (Gudsis) or the Freshdesk contact (external to Solvay).This rule explains the poor quality of these dimensions with multiples spellings. |
| Standard definition | Calculation | |
|---|---|---|
Ticket created | Ticket "created" during the period | Count distinct of ID tickets |
Ticket resolved | Ticket "closed" or "resolved" during the period | Count distinct of ID tickets |
On going ticket | Ticket status different from "created" or "closed" or "resolved" at the current date | Count distinct of ID tickets |
Average age | Average age (in days) of "ongoing" tickets | Current date - creation date |
Resolution time | Time spent between the creation date and the resolution date
| Resolution date - creation datesum of hours => average |
Age bucket | % of tickets resolved and closed with a Resolution time spread from 0 to 91+ business hours. | Count distinct of ID tickets with a Resolution time (BH) spread from : |
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