The Role of Big Data Analytics in Advancing Information Systems Research

Big Data Analytics has emerged as a critical method for data collection and analysis, enabling the examination of vast sets of structured and unstructured data. Supported by a range of advanced technologies, it plays a pivotal role in the modern big data ecosystem. The literature reviewed in this study highlights various scenarios where big data analytics has been successfully implemented or holds potential for future application. By examining these cases, the paper provides a comprehensive understanding of how big data analytics can be leveraged across different domains and contexts. The study further maps the existing literature to the six phases of Design Science, offering a structured
approach to understanding its application in research. A straightforward yet effective criterion is introduced to classify the literature into the most relevant phase of Design Science it contributes to. Based on this mapping, the paper generates recommendations for future researchers, encouraging them to explore underutilized phases of Design Science and improve the application of big data analytics in these areas. This approach aims to guide researchers in addressing gaps and advancing the use of big data analytics within the framework of Design Science. Keywords: Design Science Process, Big Data Analytics, Information System.