Forecasting and Anomaly Detection
Standard Power BI report and dashboard visualizations are great tools to support descriptive and diagnostic analytics of historical or real-time data, but ultimately organizations need predictive and prescriptive analytics to help guide decisions involving future outcomes. Power BI Desktop provides a time series forecasting tool with built-in predictive modeling capabilities that enables report authors to quickly create custom forecasts, evaluate the accuracy of these forecasts, and build intuitive visualizations that blend actual or historical data with the forecast.
This recipe contains two complete forecasting examples. The first example builds a monthly forecast for the next three months utilizing an automatic date hierarchy. The second example builds a weekly forecast of the next eight weeks and evaluates the forecast's accuracy when applied to recent data. Finally, an example of using anomaly detection is provided.