Chapter One — 1.1 Background to the Study

Organizations that depend on e-commerce platforms 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.

Despite this potential, many existing e-commerce platforms were not originally designed with big data analytics in mind, resulting in persistent gaps in customer onboarding speed that limit their overall effectiveness. This study examines how Big Data Analytics can be applied to help close that gap.

1.2 Statement of the Problem

Existing approaches to customer onboarding speed within e-commerce platforms remain largely reactive and fragmented, with little systematic use of big data analytics despite its demonstrated value elsewhere. This study addresses the resulting gap by designing and evaluating a solution built specifically around big data analytics.

1.3 Objectives of the Study

1. To design and implement a big data analytics-based approach to improving customer onboarding speed in e-commerce platforms.
2. To evaluate the effectiveness of Big Data Analytics in enhancing customer onboarding speed within e-commerce platforms.
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 customer onboarding speed in e-commerce platforms?
2. How effective is Big Data Analytics at enhancing customer onboarding speed within e-commerce platforms?
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 e-commerce platforms. 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 study of this kind, its scope is confined to designing and evaluating a big data analytics-based solution for e-commerce platforms, focused specifically on customer onboarding speed; broader deployment considerations fall outside this scope.