- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Data
Report Workforce Headcount and Attrition in Power BI
In this lab, you will practice diagnosing aggregation errors and building point-in-time DAX measures in Power BI. When you are finished, you will have an audited, benchmark-reconciled attrition dashboard with department-level turnover metrics.
Lab Info
Table of Contents
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Challenge
Diagnose Non-Additive Headcount Behavior
Create explicit measures for hires, snapshot headcount sum, and average base salary. Add them to a table visual alongside Date[Quarter] to observe how additive, semi-additive, and non-additive metrics behave across period boundaries.
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Challenge
Calculate Point-in-Time Headcount
Transition from flawed iterative summation to a Point-in-Time snapshot measure pattern by evaluating active workforce status as of a single date boundary. And fix the invalid summation total across month, quarter, and year contexts.
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Challenge
Calculate Attrition Metrics
Build an explicit flow measure for Terminations, calculate a dynamic Average Headcount across monthly snapshot periods using an iterator, and combine them into a robust Attrition Rate metric.
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Challenge
Validate Measure Accuracy
Compare the Headcount measure output to existing HR benchmark and rectify the discrepancy.
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Challenge
The Last Challenge
Welcome to the final challenge! This is your last chance to experiment in the environment. Clicking Finish Lab will end this little world that flittered into existence just for you.
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