ForecastingProzess
ForecastingProzess refers to the systematic method employed to predict future events or trends. This process typically involves gathering historical data, identifying relevant patterns and relationships, and then applying statistical models or qualitative judgments to extrapolate these findings into the future. The primary goal is to reduce uncertainty and provide a basis for informed decision-making in various domains, including business, economics, and science.
The core stages of a ForecastingProzess often include data collection, data preprocessing, model selection, model application,
The effectiveness of a ForecastingProzess is influenced by several factors, such as data quality, the chosen