Advancements In Data Management and Warehousing: Enhancing MIS Through Modern Technologies

Abstract

In the era of data-driven decision-making, effective data management and data warehousing are critical to the success of Management Information Systems (MIS). This review explores recent advancements in data warehousing technologies and their transformative impact on MIS. Key topics include the fundamentals of data warehousing, advances in big data, cloud data warehousing, real-time processing, and in-memory databases. Through case studies from diverse industries, the review demonstrates how modern data warehouses enhance data accessibility, enable faster decision-making, and improve overall business performance. The paper also examines the challenges of managing large-scale data warehouses, such as security and scalability, and considers future trends, including Artificial intelligence-driven data management, data lakes, and edge computing. By analyzing these trends and technologies, this review highlights the evolving role of data warehousing in supporting MIS, ultimately enabling organizations to maximize data value and drive strategic growth.