What are the key differences between data science and operations research, and how can they be effectively integrated to optimize decision-making processes?

Data science focuses on analyzing and interpreting large sets of data to extract insights and make predictions, while operations research uses mathematical models to optimize decision-making processes. By integrating data science techniques with operations research methods, organizations can leverage data-driven insights to improve decision-making and achieve better outcomes.