Design and Implementation of Big Data Analytics Framework at Abyssinia Bank: A Case Study in the Oromia Special Zone, Amhara Region

Abstract

The Ethiopian banking industry is one of the fastest growing in the economy, Abyssinia Bank is one of the first banks in Ethiopia and it is among the top list of banks in the country. Big data analytics (BDA) has become an increasingly popular topic over the years amongst academics and practitioners alike. Big data, which is an important part of BDA, was originally defined with three Vs, being volume, velocity and variety. The rapid emergence of big data presents significant opportunities for organizations to enhance decision-making processes through data driven insights. This thesis explores the design and implementation of a big data analytics framework at Abyssinia Bank, focusing on its application in the Oromia Special Zone of the Amhara Region. This study aims to identify specific use cases where big data analytics can improve operational efficiency, customer service, and strategic decision-making. Through a mixed-methods approach that incorporates quantitative analysis of existing data and qualitative interviews with key stakeholders, this research will contribute to a deeper understanding of how big data can transform banking practices in emerging markets.