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 a 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 for the next eight weeks and evaluates the forecast’s accuracy when applied to recent data. Finally, an example of using anomaly detection is provided.
