The Evolution of Business Analytics: Frameworks, Tools, and Real-World Impact on Strategic Decision-Making in the Digital Age

Abstract

In the digital age, as data is increasingly recognized as a strategic asset, business analytics (BA) has become a critical factor in organizational decision-making. From common decision support systems to advanced concentrated analytics platforms and AI used in modern business environments, this review provides an inspection of business analytics development. The integration of cloud computing and machine learning (ML) is one of the main topics tested in this article, emphasizing how these technologies change their business strategy. The review also examines the number of methods and tools created to process and analyze large data sets, such as real-time analytics, data visualization, and prediction analytics. The autonomous decision-making capabilities of AI-driven manufacturing systems and the growing importance of ethical issues in data analytics are two examples of how testing demonstrates the future path of business analytics. By emphasizing the essential role that business analytics plays as a navigation role in the sophistication of the digital economy, this assessment finds ways to provide deep information to researchers and students. The analysis further explores the security, data security, and data combinations that aren't structured in the decision-making processes. Finally, the paper assesses a complete perspective on how business analytics changes decisions and the amendment of the competitive environment of industries worldwide. This analysis emphasizes the importance of advanced analytics techniques to maintain a competitive advantage while businesses continue to change in a world that focuses on data.