Big Data Analysis and Data Visualization to Help Make a Decision - Islamic Banks Case Study

ABSTRACT

Interest in data of various forms and sizes has risen in recent years, and it has become a defining aspect of modern period. The use of digital transformation strategies and their role in recovering from the consequences of the Corona pandemic, particularly in financial institutions, is the focus of this case study on Islamic banks. This study examines the big data analysis cycle for five Islamic banks’ data in the 2019/2020 era. In addition to following the five steps of the big data analysis cycle and concentrating on the phase of developing a model in order to produce graphical results that can be studied. It will make use of Google Data Studio, which is one of the greatest tools for analyzing large amounts of data. On the other hand, after creating the relevant hypotheses, it will explore possible scenarios and the visuals that result. Finally, there are visualizations and reports that assist decision-makers and investors in evaluating bank performance before to and during the Corona pandemic, making it easier to follow financial performance and conduct of banks. The research also considers the consequences of bank graphical reporting and considers whether hypotheses to help capture all statistical results in visual form are required. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.