Smart receipt system : back-end developer & data analytic subsystem

• Main Author: Heng, Soo Chuan
• Other Authors: Ng Wee Keong
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/73900
• Institution: Nanyang Technological University

There has been an increasing trend of big data analytics in the industry in the recent years. In this information age, with advancements in current technology, the availability of data has been made easier. Although there had been an explosive growth in the size of data generated but the data need to be manipulated and presented in proper ways to deliver its meaning. Therefore, data visualizations play a very important role. In this project, the focus was to analyse and provide a visualization on consumers’ spending trends by applying data mining techniques on consumers’ expenditures to gain insight of their demands and to observe patterns in their spending habits. It consists a series of progressive phases starting from database structure design, data population, understanding the data, discovering hidden trends, implementing the visual models into an application in web-based platform. Through this study, the product manufacturers will be able to better manage resource allocation to cater to the needs of their consumer base as well as to plan for the future.