ANLY482 AY2016-17 Term 2

From Analytics Practicum
Revision as of 13:28, 27 December 2016 by Qianpin.lin.2013 (talk | contribs)
Jump to navigation Jump to search

Logo.png

About

Current Run

Projects Up For Grabs!

Grading & Deliverables

Downloads & FAQ

 


List of Projects
Title Analytics Practicum Description Student Member(s) Project Supervisor Sponsor
XXX Analytics Lazada Group is a privately owned E-commerce business, an online platform for customers to make product purchases from sellers via online transactions.

Lazada currently has millions of products listed where many versions of the same product are being sold. Buyers are experiencing difficulty navigating product searches/catalog,. To help buyers gain quick access to the best products, intelligent ranking orders of all available product items needs to be generated to help buyers make preferred decisions and sellers get better sales. Furthermore, products quality as one of the key drivers of customer experience is hard to determine due to no fixed way to measuring it. A methodology is required to assess what attribute contribute most to the customers’ impression of product quality.

Group01-Group Name

  • Ranon Sim
  • Vincent Tatan
  • Lee Da Young
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

John, Lazada Group
Why Deliveries Fail (TBC) The company been managing the distribution network for one of its major clients, handing both reverse logistics and forward logistics, resulting in both inbound and outbound shipments. Thus far, the lack of a dedicated dashboard to show summary tables regarding the status of the shipments have made it very difficult for the program managers and the sales team to monitor and follow up with requests from the client regarding specific shipments. Furthermore, the shift of the company’s direction to be proactive instead of reactive has prompted for the development of systems that would aid in monitoring and also provide analysis for users to not just follow up on cases, but to also seek avenues for further improvements. Hence, we will be working on this project to help formulate an effective solution to their needs whilst providing deeper analysis into the data that will help identify potential problems before they arise.

Group02-Hiryuu

  • Chua Wan Theng
  • Jouta Lim ZiYu
  • Lin Qianpin
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

Logistics Company