In this captivating #powerbi video, we delve deep into the realm of time intelligence, focusing on a critical skill that can transform your analytical prowess. Specifically, we explore the methodology for computing the average of data from the last X number of years for the same month.
The significance of calculating the average for the same months as opposed to a rolling average lies in its ability to provide more accurate and contextually relevant insights. Understanding and accounting for seasonal variations is critical for accurate analysis. Certain months or quarters may exhibit distinct patterns or trends due to factors like holidays, weather, or economic cycles. By calculating the average of data from the same month over multiple years, analysts can identify and adjust for these seasonal variations, providing more accurate insights.
Towards the video's conclusion, there's a question for you to take on, and your understanding will significantly improve as you work through it and solve it.
Enjoy and share, and leave your valuable and constructive feedback.
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🌏: perytus.com/
✍: perytus.com/blog/
📞: perytus.com/contact/
0:00 Introduction
0:10 Problem Statement
2:22 Let's jump to the solution
9:17 Let's solution in action
14:45 Final Thoughts
15:04 Do it yourself!
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4 авг 2024
