Analyzing Credit Card Data Using Microsoft Power BI for Stakeholders & its Challenges in Global Context

Abstract

Purposes Power BI is a powerful tool for interactive and dynamic data visualization, which is augmented with PyCaret's anomaly detection to better data interpretation. This research looks at an interactive platform that provides stakeholders with an easy-to-use interface for seeing teacher performance measures. Furthermore, Power BI's anomaly detection is used to find outliers and possible fraud while detecting credit card fraud. Insightful dashboard creation using Power BI and its function in real-time data sharing—both critical for a competitive market—are reviewed in this study. The research also looks at how PyCaret and Power BI may be customized for use in a range of foreign settings, such as different financial markets and educational systems. It discusses adhering to international data privacy laws like the Data Protection Act and GDPR and looks at how Power BI makes international data sharing easier. Furthermore, it discusses how these tools can promote international collaboration in addressing educational and financial challenges.