Data analytics and business applications

• Main Author: Yee, Mon Aung
• Other Authors: Mohammed Yakoob Siyal
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2021
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/149648
• Institution: Nanyang Technological University

The global digital world is already generating vast quantities of data, and as time goes on, this exponential development will continue to generate even more data. On the other hand, businesses may use data analytics to enter new markets, strengthen customer relationships, and streamline processes. As a result, this project's primary goal is to create a testbed and apply various data analytic algorithms to show how data can be used for various business applications and how it can help companies grow and achieve their goals through the use of data. In this report, various data analytics algorithms are studied and implemented as testbed models to study their business applications. Models working with different data types such as time series etc. are chosen for different business applications such as forecasting, fraud detection, and recommendation system. Specifically, three data analytics models were implemented, which are (1) Seasonal Autoregressive Integrated Moving Average (SARIMA) model, (2) Multilayer Neural Network, and (3) Item-based Collaborative Filtering Recommendation system. Different architectures and parameters were chosen as a testbed to study the best performing parameters of the models.