The article introduces a new method for analyzing large sets of complex time series data. By breaking down the data into common patterns and unique variations, the researchers can better understand and predict trends. They developed a way to determine the number of key factors driving the data and accurately estimate them. Their approach improves forecasting accuracy, as shown in their study on predicting mortality rates.