Comment
Author: Admin | 2025-04-28
Skip to main content This browser is no longer supported. Upgrade to Microsoft Edge to take advantage of the latest features, security updates, and technical support. Profit Chart (Analysis Services - Data Mining) Article10/31/2023 In this article -->Applies to: SQL Server 2019 and earlier Analysis Services Azure Analysis Services Fabric/Power BI PremiumImportantData mining was deprecated in SQL Server 2017 Analysis Services and now discontinued in SQL Server 2022 Analysis Services. Documentation is not updated for deprecated and discontinued features. To learn more, see Analysis Services backward compatibility.A profit chart displays the estimated profitability associated with using a mining model. For example, let's assume your model predicts which customers a company should contact in a business scenario. In that case, you would add to the profit chart information about the cost of conducting the targeted mailing campaign. Then, in the completed chart, you can see the estimated profit if customers are correctly targeted, as compared to randomly contacting customers.Build a Profit ChartA profit chart is similar to a lift chart. You start by creating a lift chart, and then add in the cost and profit information.To build a profit chart, you must have an existing model.For this example, we used the Targeted Mailing decision tree model. The model identifies customers who are likely to buy a bike. You can apply the Profit Chart to determine how many of your customers to target to maximize your profit.If you don't have the sample model, you can create it using the Basic Data Mining
Add Comment