{"id":10939,"date":"2026-02-13T11:56:05","date_gmt":"2026-02-13T10:56:05","guid":{"rendered":"https:\/\/powerbi.pl\/?p=10939"},"modified":"2026-02-13T12:24:28","modified_gmt":"2026-02-13T11:24:28","slug":"predictive-analytics-in-power-bi-in-practice-from-business-data-to-forecasts","status":"publish","type":"post","link":"https:\/\/powerbi.pl\/en\/blog\/microsoft-power-bi-en\/predictive-analytics-in-power-bi-in-practice-from-business-data-to-forecasts","title":{"rendered":"Predictive Analytics in Power BI in Practice \u2013 From Business Data to Forecasts"},"content":{"rendered":"

Today, a different question is becoming increasingly important:\u00a0<\/span>what will happen in the future?<\/span><\/i>\u00a0<\/span><\/p>\n

This is where<\/span>\u00a0predictive analytics in Power BI\u00a0<\/span><\/b>comes in\u2014a method that uses historical data to build forecasts and future scenarios. It is not just about creating a visually appealing dashboard. It is about providing real support for strategic decision\u2011making.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

 <\/p>\n

What\u00a0Is\u00a0Predictive Analytics in Power\u00a0BI in\u00a0Practice?<\/h2>\n

In theory, it all sounds simple: we collect data, build\u00a0a model, and forecast the future. In practice, predictive analytics in Power BI is a combination of several elements\u2014<\/span>data quality<\/span><\/b>, proper architecture, and\u00a0appropriate analytical\u00a0tools.<\/span>\u00a0<\/span><\/p>\n

It is not only about generating a trend line on a chart. It is about creating an environment where historical data becomes the foundation for forecasting sales, costs, demand, or financial results.<\/span>\u00a0<\/span><\/p>\n

 <\/p>\n

Using Historical Data to Build Predictive Models<\/h3>\n

Every\u00a0<\/span>predictive model<\/span><\/a>\u00a0begins with historical data. It enables organizations to:<\/span>\u00a0<\/span><\/p>\n