ANLY482 AY2016-17 Term 2
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| Title | Analytics Practicum Description | Student Member(s) | Project Supervisor | Sponsor |
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| 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. |
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Logistics Company |
| GovTech - Observing Labour Market Trends | Government agencies understand that there are high-paying jobs that no one is applying and a possible reason for that is because Singaporeans do not have such skills. In addition, with the evolving technology, companies requires new types of skills from their employees. They are interested to identify these skill mismatches and emerging skills for planning purposes and for programs such as SkillsFuture Singapore. The Ministry of Trade and Industry (MTI) and GovTech started this project to meet these impending needs. GovTech is a government agency that aims to harness the best info communications technologies to make a difference to the everyday lives of people in Singapore. In a move to centralize all public sectors technologies, GovTech is in-charge of IT developments from all government agencies. |
Group 02 - Team Labourers
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Government Technology Agency of Singapore (GovTech) |
| Vanitee - Customer Retention, Beauty Professional Activeness and Brand Loyalty Analysis |
Vanitee, a beauty services platform, bridges the gap between customers and independent beauty professionals in Singapore. Beauty services range from hairstyling, brows, nails, makeup, massages and facials. As of today, there are approximately more than 1700 beauty professionals and they have served over 20,000 customers so far. Despite their early success over the past 2 years, Vanitee plans to push their business further forward by focusing on their efforts to grow and retain their customer and beauty professional base. Our project aims to utilise techniques such as cluster analysis, survival analysis as well as extrapolation to identify and predict Vanitee's customer retention rate, beauty professional activeness levels and evaluate the effectiveness of their current VIP loyalty program. |
Group03 - Team V
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Vanitee |
| SGAG - Social Media Analytics | SGAG has since continued to grow strong, has over 500,000 likes on their Facebook page and has also expanded to creating videos on Facebook as well as YouTube. As social media and the internet become increasingly widespread in Singapore, users are seen to be trending towards video related content from text based and pictured contents. With its listicles being very successful, SGAG wishes to place more focus on their videos, where competition is of abundance. Therefore, by studying historical data, SGAG would like to find out which kinds of videos are more popular and garners more views, in hopes of knowing the consumer’s preferences to in turn increase viewership. |
Group 05 - Team 3GAG
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Karl Mak, Co-Founder of SGAG and MGAG |
| 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
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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
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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
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
XYZ Web hosting company |
| Project Title | Description |
Group12-TSK Transporters
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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 their GCE 'O' Levels examinations can be a tough decision. It is sometimes difficult for teachers to decide whether or not to encourage or allow students with borderline grades to take on the subject combination of combined science or double science. Often, many parents want and believe that their children are qualified to take on double science combination (or even triple science). Without any analytical evidence, this makes it difficult for teachers to convince parents that the recommended or proposed combination would be the better choice for their child. |
Group15-Edufy
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
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
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Hospital X |
| Using Sales and Supply Management Analytics to drive Profitability | Company Z is a medium-sized pharmaceutical product distributor and wholesaler in Singapore who caters to various healthcare institutes and clinics. Effective management of the supply chain and sales strategies is particularly important for Company Z as it deals primarily with large volume and high-value products at a rapid pace. Hence, even the smallest miscalculation in strategic management would result in significant losses. That said, there is huge potential for insights from the wealth of information that can be found in the sales data. Insights generated with contextual knowledge reinforced by managerial experience and the understanding of the industry/business would ensure tangible positive impacts.
The aim of this project is to create value through the use of Sales data analytics to improve operational efficiency, reduce unnecessary losses and ultimately enhance profitability. |
|
Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Pharmaceutical Company Z |
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Group06
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
KosemeBox Pte. Ltd. | ||
| Project title |
Desc |
Group 10 - Kes MY JX
|
Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
xxx |
| Project title |
XXX |
Group 13 - XXX
|
Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
XXX |
| Li Ka-shing Library Ezproxy Log Data Analytics |
The Li Ka Shing Library’s electronic search platform offers a wide array of research resources with over 360,000 books, 80,000 journals, 160 databases and more than 16,000 SMU research publications in its Institutional Repository and Oral History Collection. The extensiveness of the amount of resources would mean nothing if the average user (e.g. You and me) do not utilize it to its fullest capabilities. Therefore, the analytics team (part of Learning & Information Services) in Li Ka Shing Library would like to discover meaningful insights about user behaviour on its electronic resources to provide necessary assistance in forms of library e-resources training, helpdesk and support. However, the current problem is the lack of knowledge to handle the proxy log data collected from the library’s main web page, http://library.smu.edu.sg/. Thus, the proxy log data files are often neglected and not used at all. We would like to realize the full potential of this data by first understanding the user behaviour of library’s electronic resources. After which we would aim to understand the relationship between different search queries and how it varies from certain clusters of users. Lastly, we would dive down to the details and examine the event sequence for unique users, in terms of how their search querying ‘journey’ appears. |
Group 7 - BJJ
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Li Ka-shing Library |
| Project Title |
Description |
Group 11 - Team Plus
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Sponsor |
