Visualizing and comparing data that shows trends over time is one of the essential things you must get right when solving certain business questions. Especially when you deal with forecasts or seasonal analysis.
But when it comes to working with time periods in Power BI, you can’t do it without knowing your way around DAX functions and Power Query.
To eliminate any seasonality or fluctuations, it’s imperative to show your performance compared to a rolling or a moving average. What about visualizing your sales performance for the current month that refreshes automatically?
Join this webinar to learn how to implement it immediately.
When it comes to working with time periods in Power BI, you can’t do it without knowing your way around DAX functions. Chronologically sorting months and creating a calendar table is only the beginning!
To eliminate any seasonality or fluctuations when looking at trends over time, it’s crucial to show your performance compared to a rolling or a moving average, for example for the last 12 or 13 months. What about visualizing a strategic overview, let's say, looking back 5 years and making a rolling forecast for the next 3?
Or maybe you’d only need to check your sales performance for the current month and you’d want the data to refresh automatically. How to handle incomplete periods?
We can hear you saying: but how do I handle all that?!
In this webinar, we’ll dive into advanced time intelligence and automation in Power BI, but we’ll break it down step by step so you’ll know exactly how to do it. Plus, you’ll be able to implement it immediately.
We’ll take a look at the best practices and show you real-life examples in Power BI!
By mastering the advanced time intelligence functions, you won’t suddenly be able to control time, but you’ll have complete control over how you look at it in your reports and dashboards.