Chapter One — 1.1 Background to the Study

The rapid evolution of Low-Code/No-Code Development Platforms has transformed the way organizations design, deploy, and manage cloud storage management systems. As institutions seek to modernize legacy processes, Low-Code/No-Code Development Platforms offers new opportunities to improve service delivery, reduce manual overhead, and respond more effectively to user needs.

Despite this potential, many existing cloud storage management systems were not originally designed with low-code/no-code development platforms in mind, resulting in persistent gaps in decision support that limit their overall effectiveness. This study examines how Low-Code/No-Code Development Platforms can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to decision support within cloud storage management systems remain largely reactive and fragmented, with little systematic use of low-code/no-code development platforms despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around low-code/no-code development platforms.

1.3 Objectives of the Study

1. To design and implement a low-code/no-code development platforms-based approach to improving decision support in cloud storage management systems.
2. To evaluate the effectiveness of Low-Code/No-Code Development Platforms in enhancing decision support within cloud storage management systems.
3. To identify the key requirements and constraints relevant to deploying low-code/no-code development platforms in this context.
4. To assess user and stakeholder perception of the resulting system.

1.4 Research Questions

1. How can low-code/no-code development platforms be applied to improve decision support in cloud storage management systems?
2. How effective is Low-Code/No-Code Development Platforms at enhancing decision support within cloud storage management systems?
3. What requirements and constraints are relevant to deploying low-code/no-code development platforms in this context?
4. How do users and stakeholders perceive the resulting system?

1.5 Significance of the Study

Beyond its immediate technical contribution, this study offers value to organizations evaluating whether to invest in low-code/no-code development platforms for their own cloud storage management systems, and contributes to the broader literature on applied software technology / IT by documenting a concrete implementation and evaluation case.

1.6 Scope of the Study

The study is limited to the design, implementation, and evaluation of a low-code/no-code development platforms-based approach to improving decision support within cloud storage management systems. Reflecting its MSc-level scope, it does not extend to a full commercial rollout or long-term post-implementation review beyond the study period.