Chapter One — 1.1 Background to the Study

Organizations that depend on mobile banking applications are under increasing pressure to modernize, and Big Data Analytics has emerged as one of the more promising avenues for doing so, given its demonstrated impact in related domains.

In practice, however, adoption of big data analytics within mobile banking applications has been uneven, and its actual impact on user experience is not yet well understood in a rigorous, evaluable way — a gap this study is positioned to address.

1.2 Statement of the Problem

Current mobile banking applications in many organizations struggle with inadequate user experience, often relying on manual processes or outdated architectures that were not designed for today's operating environment. Without a structured approach to integrating big data analytics, these limitations are likely to persist, exposing organizations to inefficiency, risk, and a poor user experience. This study is motivated by the need to design and evaluate a big data analytics-based approach to addressing this problem.

1.3 Objectives of the Study

1. To design and implement a big data analytics-based approach to improving user experience in mobile banking applications.
2. To evaluate the effectiveness of Big Data Analytics in enhancing user experience within mobile banking applications.
3. To identify the key requirements and constraints relevant to deploying big data analytics in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can big data analytics be applied to improve user experience in mobile banking applications?
2. How effective is Big Data Analytics at enhancing user experience within mobile banking applications?
3. What requirements and constraints are relevant to deploying big data analytics in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

This study is significant to software developers and system architects seeking practical guidance on applying Big Data Analytics within mobile banking applications. It is equally relevant to organizations that rely on these systems, offering a reference point for evaluating whether such an investment is justified, and it adds to the growing body of work on big data analytics applications in software technology / IT.

1.6 Scope of the Study

As a BSc-level study, its scope is confined to designing and evaluating a big data analytics-based solution for mobile banking applications, focused specifically on user experience; broader deployment considerations fall outside this scope.