![]() ![]() Forecasting in Power BI is based on an established suite of methods for time series prediction called exponential smoothing. However, there is a detailed explanation of the algorithm Power View uses for forecasting. I haven’t found any articles describing what algorithm the forecasting feature uses in Power BI. We’ll change the color to dark grey as shown below. Next, let’s add median line by going to Median Line in the Analytics pane and just click on Add. You’ll notice now that we have a forecast line after our data ends with the shaded grey area being our confidence interval. Let’s click on Add, set the forecast length to 12 Months with a 95% Confidence Interval and click Apply. If we select the visual and go to the analytics pane we can see a Forecast option. We want the ability to quickly see a forecast for the next twelve months of what the revenue will look like. The visual below contains revenue by Month and Year. In our example today, we’ll see how we can add a Median line and have Power BI Forecast revenue for us. It is found in the Visualizations area of Power BI Desktop. The Analytics pane allows you to add dynamic reference lines to your visuals to provide focus for important trends or insights. In order to take advantage of forecasting in Power BI, you should be aware of a cool feature in the product called the Analytics pane.
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