srjmdSRJMDSRJMD2788-946710.47310/srjmd.2022.v02i02.016Utilizing Cloud-Based Big Data Analytics in Knowledge Management to Improve Organizational Decision-MakingSuzanAhmadSultanAssistant Professor Information Science Department – Knowledge Management,King Abdul Aziz University - JeddahThe aim of this study is identify the ways business can use cloud-based KM and BD analytics to make improved decisions. The method uses cloud computing systems like Apache Spark and Hadoop to deal with the glitches that come up when the researcher have to deal with large amounts of data rapidly and in different arrangements. Cloud computing improves KM by creation them more efficient, flexible, and responsive. The study uses a mixed-methods approach that combines qualitative and quantitative methods. The quantitative analysis shows faster data handling, less latency, and better scalability, all of which help organisations make decisions more quickly. Qualitative results from interviews and case studies show that the system works to make data easier to find, encourage teamwork between departments, and get rid of information silos. By letting data be processed locally, fog computing and cloud technology can solve latency and privacy problems. This method speeds up thinking and makes sure that rules are followed, which makes it perfect for situations where decisions need to be made right away. The study emphasizes the importance of balancing data-driven insights with human judgment, given the relevance of human expertise in understanding data within the broader business context. The findings show that combining cloud-based KM with big data analytics improves organisational productivity, knowledge sharing, and decision-making capabilities, offering a viable solution to modern information management challenges. Prioritising data security, privacy, and skilled human resources is essential to ensure successful implementation across all industries.