The article discusses the applied aspects of time series analysis in the context of operational and strategic planning tasks at an enterprise. Special attention is paid to the autocorrelation method as a tool for identifying internal dependencies in the data structure. Using the example of quarterly data on the output of a conditional manufacturing enterprise, the method of constructing a correlogram and interpreting autocorrelation coefficients for various time lags is demonstrated. Conclusions are drawn about the presence of a stable trend and a seasonal component, which makes it possible to increase the accuracy of short-term forecasts. The results of the study can be used in the practice of financial and production management.
Paraskevopulo et al. (Thu,) studied this question.