Power BI Challenge 16 - Timesheet Utilisation Reporting from Parag (Non-member)

Challenge Updates
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Here’s the entry from one of our non-member participants, Parag.

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Here’s how Parag described it:

Few Key insights:

  1. Average rate paid per hour increases as cumulative client earnings decrease in most of the cases.

  2. Work-efficiency per day is directly proportional to the number of hours the breaks are taken. For instance, Thursday registers the most efficient day for work, but in hindsight, it registers most hours for breaks (103) from the data between June 2018-September 2021.
    So, more no. of breaks ensures more efficiency in work and vice-versa.

  3. The highest cumulative earnings were done between the period of February 2021-September 2021.

To learn about the real-life scenario presented for the challenge, be sure to click on the image below.

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This post is part of the Enterprise DNA platform improvements. Through these posts, members and non-members can showcase the resources and inspirations on how they come up with their challenge submissions. We hope all members can utilize it efficiently.