Move beyond spreadsheets to data mining, forecasting, optimization – and more
![](https://blogs.sas.com/content/subconsciousmusings/files/2023/01/11_The-forecast-plot-below-illustrates-that-the-level-shift-was-captured-and-the-difference-between-the-actual-onset-of-the-level-shift-and-the-predicted-onset-is-relatively-small.jpg)
Time series data is widely used in various fields, such as finance, economics, and engineering. One of the key challenges when working with time series data is detecting level shifts. A level shift occurs when the time series’ mean and/or variance changes abruptly. These shifts can significantly impact the analysis and forecasting of the time series and must be detected and handled properly.