The paper "Big Data Analytics: A Review of Its Transformative Role in Modern Business Intelligence" by Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, and Osato Itohan Oriekhoe provides a comprehensive overview of the transformative impact of Big Data Analytics on modern business intelligence. The authors explore how Big Data Analytics has reshaped decision-making processes, strategic planning, risk management, operational optimization, and customer-centric initiatives. Key themes include the ability to handle large volumes of diverse data, the integration of advanced analytics techniques like machine learning and artificial intelligence, and the real-world applications in various sectors such as finance, healthcare, marketing, and manufacturing. The paper also addresses the challenges and ethical considerations associated with Big Data Analytics, including data privacy, security, and regulatory compliance. Finally, it highlights emerging trends such as edge analytics, federated learning, and the integration of Big Data with transformative technologies like IoT and blockchain, emphasizing the evolving landscape of Big Data Analytics and its potential for future innovation.The paper "Big Data Analytics: A Review of Its Transformative Role in Modern Business Intelligence" by Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, and Osato Itohan Oriekhoe provides a comprehensive overview of the transformative impact of Big Data Analytics on modern business intelligence. The authors explore how Big Data Analytics has reshaped decision-making processes, strategic planning, risk management, operational optimization, and customer-centric initiatives. Key themes include the ability to handle large volumes of diverse data, the integration of advanced analytics techniques like machine learning and artificial intelligence, and the real-world applications in various sectors such as finance, healthcare, marketing, and manufacturing. The paper also addresses the challenges and ethical considerations associated with Big Data Analytics, including data privacy, security, and regulatory compliance. Finally, it highlights emerging trends such as edge analytics, federated learning, and the integration of Big Data with transformative technologies like IoT and blockchain, emphasizing the evolving landscape of Big Data Analytics and its potential for future innovation.