Jump to content

Entity Breakdown Page: Difference between revisions

From PBI Reporting Wiki
No edit summary
No edit summary
Line 66: Line 66:
AVERAGE ( 'Performance and Root Cause'[Days] )
AVERAGE ( 'Performance and Root Cause'[Days] )
|This measure calculates the mean number of days taken to resolve non-conformance tickets, based on the difference between the ticket’s creation date and resolution date.
|This measure calculates the mean number of days taken to resolve non-conformance tickets, based on the difference between the ticket’s creation date and resolution date.
|-
|6. Total Non_conformance
|
|
|}
|}

Revision as of 10:22, 15 August 2025

Summary

Filters

Filter Description
Date picker Allows users to filter the dataset by a specific date or date range.
Entity slicer Enables users to filter the report by entity ( Business unit)
User Allows report viewers to filter the dataset by the ticket requester or assignee

Data Transformation Applied

Query Transformations
Entity table API link =https://customer-service.datacair.com/api/ticket/customfield/6
  • Default Behavior: The API returns a maximum of 50 records per request unless otherwise specified.
Datacair tickects table API link =https://customer-service.datacair.com/api/ticket/ticket?department=4&limit=1000000000
  • API Endpoint: https://customer-service.datacair.com/api/ticket/ticket?department=4&limit=1000000000
  • Purpose: Retrieves comprehensive ticket information for department ID 4, including metadata and key lifecycle fields. The limit parameter is explicitly set to a very high value to ensure all relevant records are returned in a single call, bypassing default pagination limits.

Calculations

Columns Calculation Description
1. Total Non-Conformance Raised Total Non-Conformance = DISTINCTCOUNT('Performance and Root Cause'[id]) This measure calculates the total number of unique non-conformance records in the dataset by counting distinct ticket IDs.
2. Total Non-Conformance Resolved Total Non-Conformances Resolved = CALCULATE(COUNT('Performance and Root Cause'[status name]),'Performance and Root Cause'[status name]="Closed") This measure counts the total number of non-conformance tickets that have been resolved, based on their status being marked as "Closed".
3. Total Non-Conformance Open Total Non-Conformances Open = CALCULATE(COUNT('Performance and Root Cause'[status name]),'Performance and Root Cause'[status name]="Open") This measure counts the total number of non-conformance tickets that are still open, based on their status being marked as "Open".
4. Total Non-Conformance Awaiting Reply Total Non-Conformances Awaiting Reply = CALCULATE(COUNT('Performance and Root Cause'[status name]),'Performance and Root Cause'[status name]="Awaiting Reply") This measure counts the total number of non-conformance tickets currently in the "Awaiting Reply" status, indicating that further information or action is required from the customer, stakeholder, or another party before resolution can proceed.
5. Average Resolution Time (Days) Average Resolution Time (Days) =

AVERAGE ( 'Performance and Root Cause'[Days] )

This measure calculates the mean number of days taken to resolve non-conformance tickets, based on the difference between the ticket’s creation date and resolution date.
6. Total Non_conformance