Author(s): Javier Morales
Risk management has become a vital component of modern business strategy in an increasingly uncertain environment. This paper presents an analytical approach to risk management by focusing on systematic techniques used to identify, assess, and mitigate risks. The study highlights the importance of both quantitative and qualitative tools, including statistical models and enterprise risk management frameworks. It also emphasizes the role of data-driven decision-making in enhancing organizational resilience and performance. The findings indicate that a structured analytical approach enables organizations to minimize risks and sustain competitive advantage in dynamic markets.