Niladri Mahapatra

In the rapidly evolving business environment, organizations are persistently working towards making well-informed decisions that pave the way for success. A crucial component of this decision-making process is forecasting, aimed at shedding light on potential scenarios by analyzing historical data and future projections. Nonetheless, conventional forecasting methods frequently fall short in addressing the uncertainties and dynamic variables that are inherent in intricate projects. This is where the concept of probabilistic forecasting within an agile framework emerges, presenting a more precise and pragmatic approach. In this article, we will explore the concept of probabilistic forecasting in an agile context and offer a practical example to exemplify its application.