Architecting Modern MIS with Advanced Data Warehousing Solutions: A Review

Abstract

Advancements in data management and warehousing have revolutionized the way organizations handle, store, and analyze information. This paper delves into the core components and innovations of data warehousing, emphasizing their pivotal role in enhancing Management Information Systems (MIS). It covers essential processes such as ETL (Extract, Transform, Load), architectural elements like operational data stores, and emerging technologies including cloud-based warehousing, real-time analytics, and in-memory databases. Real-world applications are showcased through case studies of Amazon and Netflix, illustrating the transformative impact of advanced warehousing solutions on business performance. Key challenges such as data security, scalability, and maintenance are examined alongside emerging trends like AI-driven data management, data lakes, and edge computing. This review highlights how robust data warehousing practices enable organizations to drive faster decision-making, improve operational efficiency, and maintain a competitive edge in an ever-evolving technological landscape.