Difference between revisions of "ANLY482 AY2016-17 Term 2"

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<td>Our project seeks to use social network analysis theories to create a hybrid centrality scoring method and a comprehensive dashboard based on email correspondence data that would provide TrustSphere with direct insights on various aspects of global collaboration effectiveness.
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<td>TrustSphere is a market leader in Relationship Analytics, delivering solutions through Sales Analytics, Risk Analytics and People Analytics. Their goal is to help clients find the value of their associated networks for improving key business challenges such as sales force effectiveness, enterprise-wide collaboration, participation and contribution statistics and corporate governance.
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Our project seeks to use social network analysis theories to create a hybrid centrality scoring method and a comprehensive dashboard based on email correspondence data that would provide TrustSphere with direct insights on various aspects of global collaboration effectiveness.
  
 
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Revision as of 06:17, 1 January 2017

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About

Current Run

Projects Up For Grabs!

Grading & Deliverables

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List of Projects
Title Analytics Practicum Description Student Member(s) Project Supervisor Sponsor
Identifying Failures in Logistics 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.

Group01-Hiryuu

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

Associate Professor of Information Systems (Practice)

Logistics Company
Relationship Analytics TrustSphere is a market leader in Relationship Analytics, delivering solutions through Sales Analytics, Risk Analytics and People Analytics. Their goal is to help clients find the value of their associated networks for improving key business challenges such as sales force effectiveness, enterprise-wide collaboration, participation and contribution statistics and corporate governance.

Our project seeks to use social network analysis theories to create a hybrid centrality scoring method and a comprehensive dashboard based on email correspondence data that would provide TrustSphere with direct insights on various aspects of global collaboration effectiveness.

Group 17 - APA

  • Prekshaa P. Uppin
  • Akshita Dhandhania
  • Aayush Garg
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

TrustSphere
E-commerce 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.

Group04-E-comm

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

Associate Professor of Information Systems (Practice)

Lazada Group
Social Media Analytics XYZ is an online content creator that focuses on lifestyle stories for Singaporeans. XYZ gives readers trusted information on what to do in and out of their country. It is half editorial based and half community based where Singaporeans can upload their own reviews and share their opinions about everything Singapore.

Group08 - JAR v.IS

  • Albert Bingei
  • Ho Jun Liang
  • Russell Lim Zhi Wei
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

XYZ Web hosting company
Project Title Description

Group12-TSK Transporters

  • Lim Ting Zhi
  • Ng Kiat Keng
  • Sanjay Nelagadde
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

XXX
Making better Subject Combination Choices for Students For many Secondary 2 students in Singapore, choosing and selecting a subject combination for the next two years leading to O Levels can be a tough decision. It is sometimes difficult for teachers to decide whether or not to encourage / let students take on the combination of double science or combined science (should they consider based on overall grades, or should they base their decisions on individual science grades). Many parents want and feel that their children are able to qualify for double (or even triple science), which makes it difficult for teachers to convince them that either options would be a better choice for their child.

Group15-Group Name

  • Heng Koh Chin
  • Peh Zhan Hao
  • Tan Yong Kiong, Alson
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

Principal, School X
Analysis of Defaulted Medical Appointments Hospital X is a pioneer tertiary institution that provides a comprehensive range of medical and rehabilitative services for anyone in need. Currently, Hospital X has defaulted or missed appointments rate of about 21% for first visits and 19% for review visits. Defaulted appointments lead to longer appointment lead times, lower operation productivity and overall lower quality of care.

Group18 - ZAN

  • Loh Yan Zoey
  • Mirania Aishwarya Agarwal
  • Nasrullah Bin Khairullah
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

Hospital X
Improving Supply Chain Management Processes Company Z is a medium-sized pharmaceutical product distributor and wholesaler in Singapore who caters to various healthcare institutes and clinics. Effective supply chain management is particularly important for Company Z as it deals with high volume, high value products at a rapid pace where supply chain failures may prove detrimental. There is huge potential for insights from the wealth of information that supply chains generate, as well as from qualitative data in the form of managerial experience. Supply chain analytics will be used in order to derive methods and insights which can be used to improve the operational efficiency.

Group19

  • Benjamin Kee
  • Melvyn Teo
  • Vivian Lau
Prof. Kam Tin Seong

Associate Professor of Information Systems (Practice)

Company Z