Modeling and Forecasting of Business Processes through Time Series

This article analyzes the methodology for modeling and forecasting business processes based on time series. The study is carried out on the example of Apple's quarterly revenues for 2020-2024, and a forecast of future revenues is formed using trend and seasonal components, moving averages, and regression models. Time series analysis is important for planning business processes, optimizing resources, and making evidence-based strategic decisions.