Probabilistic forecasting in agile
In the ever-changing business landscape, organizations are continually striving to make informed decisions that will drive success. One critical aspect of decision-making is forecasting, which aims to provide insight into how different scenarios might unfold based on historical data and future projections. However, traditional forecasting methods often fail to account for uncertainties and fluctuating variables that are inherent in complex projects. This is where probabilistic forecasting in agile comes into play, offering a more accurate and realistic approach. In this article, we will delve into the concept of probabilistic forecasting in an agile environment and provide a practical example to illustrate its application.
