LEVERAGING BUSINESS INTELLIGENCE AND DATA VISUALIZATION FOR STRATEGIC DECISION MAKING : AN EMPHERICAL STUDY AT INNOVEXIS
Nandhitha & Suyam Praba
In today’s competitive and data-intensive business environment, organizations are increasingly shifting towards data-driven decision-making. This study explores the practical application of Business Intelligence (BI) and data visualization techniques using three real-time datasets—IPL (sports analytics), OLA rider dataset (mobility services), and Emirates Group dataset (aviation industry). The research is based on hands-on data processing activities carried out during an MBA internship, including data cleaning, transformation, modeling, and dashboard development using tools such as Power BI, Power Query, and Pivot Tables. The study highlights how structured data processing and visualization techniques help uncover patterns, trends, and operational insights across different industries. Keywords: Business Intelligence, Data Visualization, Power BI, Data Cleaning, Dashboarding, Decision Making