Revolutionizing Industries Through Data Mining and Data Warehousing Techniques Across Various Business Areas

Data mining and warehousing techniques are essential for managing and analyzing large datasets across various industries. This meta-analysis aims to consolidate and evaluate existing research on the practical application of these techniques in different fields. The study emphasizes the significance of database servers in effectively handling big data and highlights both the advantages and challenges associated with data mining and warehousing. It explores the versatile applications of these techniques in crucial sectors such as healthcare, finance, marketing, cybersecurity, education, and more. Data mining enables personalized treatment plans, accurate disease diagnosis, comprehensive market trend analysis, effective customer segmentation, and reliable fraud detection. Meanwhile, data warehousing facilitates seamless integration, ensuring easy accessibility and flexibility. The study acknowledges the transformative potential of these techniques, driving innovation and fostering growth in data-driven industries. Additionally, the research identifies crucial areas for further exploration, such as integrating streaming data into data warehousing architectures and thoughtfully addressing ethical considerations tied to data mining and warehousing practices. This meta-analysis provides valuable insights to empower researchers, practitioners, and decision-makers, advancing data-driven methodologies and supporting informed decision-making processes in various sectors.