Organizations are producing exponentially more data as a result of the development of technology and data. This big data presents a significant opportunity for organizations to gain insights and optimize their operations, particularly in the field of operations research (OR). Big data analytics (BDA) is a rapidly growing field that focuses on the use of advanced techniques and technologies to extract insights from large and complex datasets. The integration of BDA into OR has the potential to revolutionize the field, providing organizations with more accurate and comprehensive insights into their operations. Big data analytics' primary goal is to transform enormous amounts of raw data into actionable insights that businesses can use to enhance their operations and make better decisions. As the volume of data generated by organizations continues to grow, big data analytics is likely to become even more critical to the success of OR initiatives. Big data analytics is a critical component of the field of operation research (OR) because it allows organizations to make more informed decisions based on real-time data and insights. However, there are also several challenges associated with the use of BDA in OR, including the quality and availability of data and the complexity of BDA algorithms. In this study, we review the key applications of BDA in OR, the challenges associated with its use, and the future research directions in this field.
