Big data analytics
Abstract
Organizations are depending more and more on big data analytics in this era of abundant information to glean insightful information from large and varied datasets. This study offers a thorough analysis of the uses and effects of big data analytics in a number of different fields. The report includes a thorough assessment of the literature that examines the development of big data analytics techniques and technologies. Using a mixed-methods approach, we use statistical models and realworld case studies to find patterns and trends in massive datasets.
Our results highlight how big data analytics can revolutionize decision-making, streamline operations, and stimulate creativity. We talk about the problems with data security, privacy, and scalability and provide some ideas for possible fixes. By conducting this study, we hope to add to the current conversation about the useful applications and potential paths of big data analytics, highlighting the critical role that big data analytics plays in influencing the field of data-driven decision-making.
Keywords:
Big Data Analytics, Data-driven Decision-making, Machine Learning, Data Security, Innovation, ScalabilityPublished
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Copyright (c) 2025 Dr. Archana Bendale, Prof. Pavan Malani (Author)

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
