CC BY-NC-ND 4.0Big Data and Big Data Analytics (BDA) are becoming trending technologies of the
future. This topic has garnered considerable interest from researchers and businesses. However, BDA
research in the banking sector has proven to be extremely limited and mixed. Addressing the challenges of BDA application and laying the foundation for BDA to improve banking efficiency raises
significant questions about strategic management in the banking sector. Through a systematic review
of the literature and a case study in Hungarian banks, this study intends to address the major inconsistencies in existing ideas about BDA applications. This study also proposes a conceptual model
to evaluate the impact of factors influencing the use of BDA in the banking sector and investigates
whether BDA affects the performance of banks. Our study finds that the use of BDA in the banking
sector has to be aligned with the creation of dynamic capabilities that positively and directly affect
banking in terms of the market and operational performance. Meanwhile, the dynamic capabilities created by BDA usage have a moderating impact on bank performance through improved risk
management performance. Furthermore, this research helps managers focus on key factors, namely
technological infrastructures, Big Data skills, data quality, and top management support, to boost
the efficiency of using BDA