5.7 Use quick insights - Video Tutorials & Practice Problems

<v Instructor>In this sub lesson we're gonna discuss</v> what quick insights is, where it can be run from, what algorithms are applied to generate insights and discuss some limitations. Okay, so we're back on the dashboard in the Power BI service. And first we should do, is discuss what quick insights is. So, you can run quick insights against a data set or a specific tile to generate insights and entering visualizations based on your data. And it can help spot patterns that you may not have otherwise found on your own. So, I mentioned two things where it can actually run from. So, in this demonstration here, we're gonna run quick insights from a dashboard tile itself. So we're not gonna run it yet but I'll show you where it is. We can click these three little dots in the upper right-hand corner of a dashboard tile and down below we have this View Insights. So, we can go ahead and run quick insights from here. And at this point in time, it's actually called scoped insights cause that's scoped to this particular dashboard tile. So an additional place that we can go ahead and run our quick insights, is from the data set itself. And that can be found over here in my workspace by just scroll down to the dataset section here and on the three little dots right beside the Sale Data Mart here. I can click on that and up above I can click this get insights and insights will be generated against the entire dataset. And this is referred to as quick insights. Okay. So let's go ahead and run quick insights or the scope insights against the Sales Performance dashboard tile right here. So I'm gonna go and click these ellipses, go down to view insights, click that button there. And then it's gonna take a couple minutes to go ahead and generate those insights. Okay. So we see that we have the insights generated based on the tile that we chose here. So, if we just scroll down the right hand side of the screen here, we can see all the various insights are regenerator for us. And it's up to us to really go through and take a look and see if any of these insights are truly something that we may not have spotted in our data on our own. So we can just comb through the items on the right hand side and if there's something that is of interest to us we could go ahead and click the pin here and get that onto our dashboard. The other thing I want to point out here is the fact that the quick insights are taking advantage of the field names and table names from our data model. So once again, this is another area we wanna really point out the work you put into the data model and coming up with good names that made sense were descriptive are gonna start paying dividends down the road and here's the where the down the road is. So you can actually start understanding what is being generated much quicker versus having to look at cryptic names that aren't quite understandable. So, self documentation and good naming standards really start to pay off. Okay. So that is the quick insights piece. Let's just run and quickly take a look at the different algorithms that are run against our dataset. Okay. So I'm right now over on the Microsoft doc site. And I can go through here and see the different types of insights that are supported by Power BI. So if I just scroll down this page a little bit more here we can take a look at all the different types of algorithms that actually run. So, there's the category outliers top and bottom change points in a time series, a correlation, low variance, majority major factors, outlines, overall trends and time series. And we can see the list goes on and on. So you can go through all these things just to see the various different types of insights that are actually run against our data site. Okay. So that takes us to the end of the sub lesson here where we introduced you to quick insights.