ANLY482 AY2017-18 Term 1
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| Title | Analytics Practicum Description | Student Member(s) | Project Supervisor | Sponsor |
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| Optimizing Manufacturing Costs Across Different Products and Locations |
FMCG Company XYZ has been the leading multinational medical device, pharmaceutical and consumer packaged goods manufacturing company globally, and is listed on the Fortune’s 500 in the United States. XYZ incorporates many well-known brands of different product types such as baby oil ,skincare products as well as contact lenses. These highly popular consumer products have millions of sales worldwide and have brought in stable revenue and gross profit for XYZ over the years. Our group seeks to improve the gross profit of these products using data analytics by analyzing the data in its operations, and identifying bottlenecks as well as opportunities to reduce and optimize costs in XYZ's supply chain. For this project, we will be focusing on their popular products, whereby we will examine the supply chain of the manufacturing process, optimizing costs as well as efficiency. |
Group01-Team JYC
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | FMCG Company XYZ |
| Ticketing Event Demand Insights |
TixCo, a ticketing service provider, has served as the ticketing agent for more than 1,000 events every year. As the leading provider in Singapore, it sells tickets for many events such as pop concerts, musicals, theatres and sports. Since its inception, TixCo aims to make buying tickets readily accessible and convenient for everyone. As TixCo is the only authorised ticketing service provider for certain events, it is crucial for them to cater to the demand of the mass public. Currently, TixCo is unable to anticipate the demand for the event organised and this post challenge for TixCo to fully capture the demand efficiently. As such, any uncaptured demand is an opportunity lost for TixCo. Hence, it is important for them to understanding the demand for an event. |
Group02- Team Modulo
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
TixCo |
| Geo-spatial Operational Insights for National Library Board | In this age of information, we see an increasing need for people and businesses to have a greater access to space and resources to further their personal and corporate needs. Hence, there is the requisite for the libraries to adequately manage this associated increasing demand. However, there exists this difficulty in measuring the operational readiness of the libraries; unlike typical corporations and organisations, the measure of public demand is not in dollars and cents.
Furthermore, there have been renovations and relocation of existing libraries and unveiling of new libraries to keep up with the times. These constant changes prompt for a reliable system to measure the effectiveness of past policies, as well as an accurate predictive model to conduct what-if analyses for future plans. This project aims to create a user-friendly system which displays geo-spatial information that can provide operational insights for the NLB. |
Group03- Qui vivra verra
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | National Library Board (NLB) |
| Consumer Insights for Insurance Company | Our sponsor is an established insurer, offering an extensive selection of General and Life Insurance products and solutions with a presence in many regions and countries. As one of the world’s most globally diversified and financially secure insurance groups, with portfolios in Marine Cargo insurance, Engineering, Personal Lines, and Life insurance, they have an established presence in Singapore in two specific area, Life Insurance and General Insurance. Although they have been collecting data required for underwriting at the point of sale, most of the data are stored and kept for compliance purposes. In a bid to remain competitive in the landscape, they want to increase the customer life-time value by exploring the cross-selling potential of products. |
Group04- Team Insured
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Undisclosed Insurance Company |
| Intelligence and Analytics in F&B |
Traditional POS systems are used mainly for completing orders and payments from a terminal. Data collected from these systems are hence limited to sales figures. A successful F&B business should not only analyse sales figures but also other aspects of the business such as efficiency of the current operations, inventory stocking, marketing campaigns and etc. Analytics Cafe will be working with HoiPOS to provide an interactive dashboard of different visualizations of data collected from HoiPOS systems. The project aims to improve HoiPOS’ data visualizations as well as add more visualizations of data analysis to value-add their POS system to clients. This project also aims to be able to apply descriptive analytics and effective visualizations to gain insights not only on the sales performance but also operations and marketing campaigns. |
Group05- Analytics Cafe
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
HoiPOS |
| Using Social Network and Text Analytics to Create a Sales Force Performance Dashboard | Advanced analytics have permeated almost every aspect of business management, from sales and marketing to finance and operations. Once carried out through intuition and experience, the human resource (HR) function is now undergoing its own revolution in the form of People Analytics. People Analytics provide HR professionals with data-driven methods to evaluate human capital and uncover critical workforce insights, thus diminishing the “guesswork” and uncertainty that comes with talent management.
This project seeks to assist TrustSphere in gaining insight into how efficiently their sales team communicates within the company’s external and internal network. Furthermore we aim to develop a dashboard that helps them monitor these communications and assess the performance of their sales employees. |
Group06- Team MST
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Ridwan Ismeer TrustSphere |
