From Data to Insights: An In-Depth Analysis of Standard Data Warehousing and Data Mining Techniques in Various Industries
Mary Jane C. Samonte, Roseville Jeanne L. Evangelista, Justine Amiel T. Jonson, Jerome B. Tamargo · 2024
This paper comprehensively explores data warehousing and data mining techniques across diverse industries. The study investigates challenges, opportunities, and processes through a systematic methodology. Ethical considerations include copyright, privacy, and conflicts of interest, while technical hurdles involve managing data volume and ensuring integrity. Industries, including smart cities, healthcare, and education, offer avenues for optimized resource utilization and informed decision-making. The paper underscores the significance of responsible data management, technological advancements, and collaborative efforts in harnessing the transformative potential of large-scale data. The research employs this approach to provide insights into the evolving landscape of data-informed decision-making and its beneficial impact on industries and society. After a thorough literature review, this paper presents significant data warehousing and data mining opportunities across various sectors, such as optimizing innovative city processes and transforming healthcare and education decision-making. Embracing emerging technologies and adhering to ethical principles are crucial for harnessing the full potential of data for progress and innovation. It is concluded that collaboration between academia, industry, and regulatory bodies is essential in establishing standardized practices and responsible data usage.