Operations Research Vs Data Science

Operations Research is a discipline that applies advanced analytical methods to help make better decisions. By utilizing techniques such as mathematical modeling, statistical analysis, and optimization, operations research aims to provide a systematic approach to problem-solving in complex organizational environments. It facilitates the identification of the most efficient and effective ways to allocate resources, manage processes, and improve overall operations, ultimately enhancing productivity and profitability in various industries.

Data Science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. It combines techniques from statistics, mathematics, and computer science to analyze data, identify trends, and inform decision-making. In the context of business and operations management, data science plays a critical role in predictive analytics, customer segmentation, and operational efficiency, enabling organizations to leverage data-driven strategies for competitive advantage.