Tag: DAX Calculations

Discover How To Repeatedly Project A Current Trend Forward In Power BI

In this unique example, I want to show you how you can take a historical trend and repeatedly project it forward. This particular example came to me from a question in the Enterprise DNA support forum. An Enterprise DNA member needed to carry out this analysis in the real world. They had to take historical

Continue reading

Who Are Your Top 20% Of Customers Based On Any Metric – Quality Power BI Insights

I wanted to be able to drill into a specific subset of my customers – in this particular case – I decided to delve into the top 20% as it was most relevant to my analysis, and follows on from a previous tutorial about the Pareto principle – also known as the 80/20 rule. Not

Continue reading

Discover How Many Sales Can Be Attributed To New Customers – Advanced Power BI Insights

In this tutorial, I wanted to cover new customer sales and how you can discover this using Power BI. The calculation and logic that we utilize to work out our new customer sales (or revenue) is very similar to just working out the absolute number of new customers that we have. The only difference is that

Continue reading

Deep Dive Into The CALCULATETABLE Function – An Important DAX Formula To Understand Well

The CALCULATETABLE function is an incredibly important DAX function to learn and understand well. Most of you who are just starting out with Power BI, have probably glanced over this particular function (I certainly did when I first started out using Power BI and writing DAX measures). It’s quite a complex function to understand and

Continue reading

Calculate The Total Of New Clients You’re Onboarding Every Month – Advanced DAX

In this example, I want to showcase how many new customers we have every month. It is certainly open to debate what you would classify as a “new customer” based on your organization or industry. However, regardless of your definition, the technique will be very similar to the example that I will walk you through.

Continue reading