Degree

Master of Science in Data Science

Department

Department of Computer Science

Faculty/ School

School of Mathematics and Computer Science (SMCS)

Date of Submission

Winter 2024

Supervisor

Dr. Muhammad Sarim, Visiting Faculty, Department of Computer Science, School of Mathematics and Computer Science (SMCS)

Keywords

Digital Wallet, User Personas, Multi-Service Usage, Financial Transactions, Gross Transaction Value (GTV), Average Order Value (AOV), Business Intelligence (BI), Data Analysis, SQL, Power BI

Abstract

In the rapid evolution of digital finance, "D-Wallet Journey" represents a paradigm shift, introducing a transformative solution that redefines user engagement and multi-service utilization strategies. In today's dynamic landscape, where data-driven insights are crucial, D-Wallet Journey emerges as a comprehensive toolkit, leveraging advanced analytics to optimize service offerings, enhance customer experiences, and drive business growth.

This solution features seven meticulously designed dashboards, tailored to diverse roles within the organization, from product managers to business strategists. Through the lenses of Multi-Service Usage Pattern Exploration, User Personas Analysis, and Performance Metrics Evaluation, D-Wallet Journey provides unparalleled insights. These insights enable businesses to attract, engage, and retain customers through personalized and data-driven strategies.

The methodology behind D-Wallet Journey involves a systematic approach, from data generation to continuous improvement, ensuring a solution that adapts to the evolving demands of the digital wallet industry. The implementation process includes database design, data population, integration with Power BI, and the creation of user-friendly dashboards, resulting in a seamless transition toward data-driven decision-making.

This project ushers in a future where precision analytics meets personalized customer engagement, ultimately redefining the landscape of digital financial services. Welcome to D-Wallet Journey.

Document Type

Restricted Access

Submission Type

Research Project

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