Integrating Data, Big Data and Federated Learning to Elevate Intelligent Decision Making in Business

This The integration of data analytics and big data ana- lytics has become a cornerstone for improving decision-making accuracy in modern businesses. However, the growing emphasis on privacy, regulatory compliance, and distributed data sources introduces new challenges. Federated Learning (FL) emerges as a transformative approach that allows collaborative model training without centralizing sensitive data. By combining data analytics, big data insights, and FL, organizations can unlock predictive power, preserve data security, and enhance adaptability. This approach supports informed decision-making, agile responses to market dynamics, and sustained innovation while safeguarding consumer trust.