ANLY482 AY2017-18 Term 2
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| Project Title | About the Project | Student Member(s) | Project Supervisor | Sponsor | |
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Eatigo is an online restaurant reservation platform that serves to optimize restaurant capacity, by offering time-based discounts to manage demand. Operating on the principles of yield management, eatigo tries to help connect "empty tables" with "empty stomachs". Since its launch in 2013, eatigo has built a 2 million subscriber base. |
Group 01 - sat@eatigo
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | eatigo Pte. Ltd. | |
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Arup is an engineering consultancy designing architecture, infrastructure, and urban planning worldwide. As part of their work on Downtown Line 3, engineering design and construction has happened in phases, producing data on the design specifications made in response to ground surveying data collected, and data on the implementation of those designs by contractors in each phase.
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Group 02 - Josh & Fried Investigations |
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Arup Singapore Pte. Ltd. | |
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Our sponsor is a home-grown supply chain solutions company and leading regional supply chain management partner to a number of the world’s leading brands such as Dell, Motorola, Samsung, LG, Exxon Mobil, Unilever and Heinemann. The company has operations all over Asia Pacific, such as China, the whole of ASEAN, India and Korea and they service various industry segments: Chemicals & Healthcare, Consumers & Retail, Electronics & Technology, E-Commerce and Cold Chain.
A strong advocate for technological and operational innovation, the company advocates productivity and sustainability improvements through interactive solutions so that they can provide their diverse consumer-base from various industry clusters with world-class logistics services. With recent interest in an analytics, the company is now looking towards implementing analytical solutions to help manage their operational processes and improve the efficiency of operations with the help of technology. As technology keeps improving, the company needs to stay ahead of their competition by staying relevant and efficient, so our group aims to help them by improving the operations of one of their clients by implementing a dashboard so that visualisations can be done automatically with minimal work from the operations head so that overtime hours can be better managed. |
Group 03
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | A Singapore-based Supply chain Management Company | |
| Social Media Analytics with SGAG | SGAG is a local news media and content distribution platform based in Singapore. The company was first started by co-founders Karl Mak and Xiao Ming as a spin-off project of 9GAG to generate localized content in 2012. Unlike 9GAG which allows users to upload their self-generated content, or using content taken from other social media platforms, SGAG produces and uploads its own original content. Their content is centered primarily around memes and issues that are relevant to young Singaporeans. Together with MGAG, the company’s Malaysian branch, SGAG is owned by the Hepmil Media Group.
To capture the interests of a wider audience, content generation is currently based on four strategies: relevance to audience, contains well-articulated stories, first to be published, and being unexpected. As of today, SGAG has approximately an audience size of 4 million per month across its platforms. However, SGAG competes within a rapidly changing social media landscape where trends are short-lasting. It is therefore vital for the company to identify how to swiftly capture new trends and optimize their content for their targeted audience to attain a higher reach. This is relevant as SGAG’s profitability is tied to its ability to effectively capture audience. Our project would strive to fulfill such goals by using analyzing their existing content published on their Facebook and YouTube channel. |
Group 04
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | SGAG Media Pte. Ltd. | |
| Red Dot Payment |
Founded by a group of visionary financial technology payment experts in 2011, Red Dot Payment (RDP) has grown into a trusted online payment company providing premium payment solutions and expertise to the brightest merchants across Asia Pacific. Bringing best-in-class practices, RDP is the trusted FinTech partner of banks, merchants, payment schemes, payment gateways, non-banking financial institutions, security and fraud management system providers. In 2016, RDP grew to handle millions of transactions across the globe, managed by a dedicated 40-person strong operation - with headquarters in Singapore, and offices in Thailand and Indonesia. Its products and services include - RDP connect, InstanCollect, InstanPay, InstanPromo and InstanToken. |
Group 05
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Red Dot Payment Pte. Ltd. | |
| Forex Currency Pair Predictive Modelling | pH7 is a private investment firm that serve clients who are keen to appreciate their wealth and grow their capital. With its expertise in trading of financial instruments and information analysis capabilities, it provides business solutions that are customised to their clients’ needs. Capitalising on cutting edge technology in their work, pH7 has been excelling in efficiency and professional.
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Group 06
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | pH7 Investment | |
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Team DHL's client has been transforming worldwide logistics since 1969. From creating the International Air Express Industry, to giving flight to a parcel delivering drone, the client aims to connect people regardless of where they are.
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 Group 07 - Data Heavy Legends
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | [1] | |
.png){kind=logo} Predictive Parking Enforcement - Tackling indiscriminate parking by bike-sharing users |
Beginning their operations in January 2017, oBike is Singapore’s first homegrown stationless smart bicycle-sharing company which uses technology to change how transportation is viewed locally. oBike has bicycles located all over the island, and these bikes have built-in Bluetooth locks to enable one-way first and last mile commuting. This provides a convenient and environmentally friendly commute option for all, especially given Singapore’s compact size and interconnected urban areas. Despite intense competition stemming from other bicycle-sharing companies such as Mobike and OFO, oBike has achieved over one million downloads since its inception. Data has revealed that the company has consistently been at the top in terms of total number of application downloads, earning them the title of “Southeast Asia’s bike-sharing leader.” However, in recent months, Singapore’s Land and Transport Authority (LTA) has issued new rules and regulations, requiring bicycles to be parked in designated yellow boxes around the islands. LTA enforcers survey the island, and issue tickets to bike-sharing companies in the event where bicycles are found to be illegal parked. From the time a ticket is issued, oBike has a mere four hours to move their illegally-parked bicycles. Failure to do so will incur hefty fines. Consequently, oBike’s current challenge is to manage illegal parking of their bicycles. |
Group 08
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | oBike Asia Pte. Ltd. | |
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KOI is one of the most well-known bubble tea brands in Singapore, founded in 2006. Despite this, it is facing logistics problems in their daily operations such that employees in different branches have difficulty predicting the right amount of ingredients to order. Moreover, space constraints of each branch is different and have to be taken into consideration, since not every branch can order the same amount of quantity, leading to a steep learning curve for new employees. Current employees also do not fully understand how much ingredients would be needed during promotional periods of certain products. As such, our project aims to focus on predictive analysis tools along with data provided by KOI to better understand correlations between different factors and sales, helping employees make better informed decisions on how much to order in the future. |
Group 09
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | KOI Thé Singapore Pte Ltd | |
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Our sponsor is a food-service organisation that owns and manages various renowned restaurant brands. XYZ Company has evolved into different concepts, with further overseas expansion. Under these concepts, the group has a total of 13 outlets in Singapore. Currently, our sponsor is not able to accurately determine the number of ingredients to order for their chain of restaurants. It is often based on guesswork and gut feeling which has often led to excessive holding costs as well as food wastage and in some cases, shortage of ingredients. This is not ideal as it may lead to various issues such as cost due to the non-freshness of the product, throwing of food due to expiry, not enough space in storage, the inability to satisfy customer demand, etc. Our main objective is to forecast the number of ingredients needed for the next order cycle and create a user-friendly application which they can use. This application would be based on a predictive model that we will develop and refine. With this application, the staff can more accurately gauge the optimal inventory quantity and order quantity and not need to rely on gut feeling from previous experience, as is the existing practice. In summary, our business goal is to ensure accurate and optimal orders to fulfil storage, optimising storage space for each individual outlet. |
Group 10 - TenneT
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | XYZ Company (Information Withheld) | |
 Alleviating Operational Costs |
Company ABC is a local SME within the logistic sector here in Singapore and is a typical example of a company that is currently facing problems maneuvering through its data to derive operational solutions. More specifically, Company ABC is facing an overarching problem of high operational costs which is primarily caused by un-optimized hiring in the various peak and erroneous filling process, which the team aims to solve through analytical approaches. The team will be utilizing several key software and libraries, as well as taking into consideration the various limitations pertaining to the data, and ultimately aims to reduce the operational costs of Company ABC. Besides having short-term cost reductions, the company may also benefit from greater employee satisfaction and better brand reputation – which could potentially aid the company in achieving its long-term vision of expanding into other countries. |
Group 11 - T.W.O
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Logistic Company ABC | |
| ARTistique |
ARTistique is a champion of the arts scene in Singapore. It offers a range of arts and cultural programmes and activities and seeks to nurture creative excellence. Through their programmes, ARTisque aims to support broad audience engagement and connect Singaporeans of all ages through the arts.
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Group 12: Team Flair
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | ARTistique | |
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Logistics Company XYZ is a multinational logistics service provider focusing on packaging, storage and distribution of chemical industry products. As logistic solutions continue to be a driving force in today’s environment, Logistic Company XYZ strives to offer personalized solutions to its companies through in-house developments in advanced logistic and engineering technology. With zero tolerance to delays in order fulfilment, the company prioritizes efficiency and accuracy. To do so, the company is constantly looking for ways to adopt smart technology and centralized systems to improve the performance of its people and processes.
Since many of the company’s processes are inevitably labour and skill intensive, training and human development is a key focus in the company’s business strategy to ensure that its people are ready to handle the changing requirements needed to fulfil processes and orders present in today's competitive environment. In this project, OP+lytics aims to propose targeted recommendations to minimize delays by investigating causes of delay in order fulfilment in the key processes identified and to address these causes related to the human factor through an analysis of employee training records and order fulfilment history. Lastly, OP+lytics aims to create a dashboard for the company to streamline the training required in its workforce while meeting job demands effectively. |
Group 13: OP+lytics
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Logistic Company XYZ | |
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Logistic Company X is one of the world's greatest global market leader in the logistics industry. Company X commits its expertise in international parcel, express, air and ocean freight, road and rail transportation, contract logistics and international mail services to its customers.
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Group 14
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Logistic Company X | |
| Beverage Company X | Our sponsor, beverage Company X, is a global company that is available over 75 markets. With a number of large brands in their portfolio, specific and targeted marketing campaigns are crucial in driving sales and establishing brand uniqueness between one another. As a project team, we would like to determine the effect of marketing on sales, thus allowing our client to make improved marketing decisions.
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Group 15
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | [Beverage Company X] | |
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As one of the biggest and most recognizable VWOs in Singapore, Young Men's Christian Association (YMCA) prides itself on being at the forefront of social innovation in the VWO landscape, with their programmes being fully subscribed to by organizations and individuals. Despite having a large reach across different target communities, YMCA has not been able to accurately identify if they have truly made an impact on their beneficiaries, or their key success factors in their programmes. Hence, a Social Return on Investment (SROI) framework will developed based on their current data to provide directions for YMCA to improve their programmes.
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Group 16 - Village People
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Young Men's Christian Association (YMCA) | |
| Behavioral analysis of users from Database Request Log |
With over 250 000 e-books provided by both Lee Ka Shing (LKS) library and Kwa Geok Choo (KGC) law library through the web service at library.smu.edu.sg, SMU library provide an array of collections to cater to support teaching and research across the multiple schools and faculties. Currently, SMU library purchases e-books on certain databases through the Patron Driven Acquisition (PDA) scheme. The PDA scheme allows SMU library to list e-books that are not yet purchased as “available” to SMU community. These e-books are subsequently automatically purchase upon meeting some trigger points when access by the SMU community. At the moment, it has been highlighted that some e-book purchases are triggered by a single unique user due to repeated access. As a result, it diminishes the effective use of PDA funds as the e-books are not widely used across SMU community. We aim to derive actionable insights from the data based on the behavioural patterns of users and understand the extent of effectiveness that PDA provides in meeting the needs of SMU community. |
Group 17
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | SMU Library | |
Developing a cost predictive model for a cleaning company |
XYZ Pte Ltd is a local cleaning and conservancy company that provides building cleaning services, landscape care and maintenance services activities. They have developed an extensive track record in the local cleaning industry, being actively involved in both commercial and government projects from their wide range of established clientele. The company hopes to benefit from more business opportunities in the future through value-adding contracts and a higher professional standing.
The team aims to provide insights with regards to purchases and related costs that will help reduce operating expenses for the company. This will include understanding the expenditure patterns and trends that relate to the company’s cleaning projects undertaken. |
Group 18 - Team DAcct
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | XYZ Pte. Ltd. | |
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This project aims to analyze the usage volume, usage patterns and usage ratio of these course reserve materials over a period of time, and ultimately, be able to provide them insights into their collection policy. |
Group 19 - LKS Bookbusters
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Li Ka Shing Library | |
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We aim to optimise the online and offline resource availability in the library to maximise the learning effectiveness of SMU students. We further aim to analyse if usage patterns vary between students based on certain attributes like Programme, Year of Graduation and Education Level. This will help in develop actionable insights to alter current training and workshop methodology, search results on keywords and distributions channels of this content. |
Group 20 - MaxiMuM
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | SMU Libraries Analytics and Research Department | |
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Brainsmith is a children’s education company based in India that designs and delivers premium educational, learning products and content for early childhood learning and healthy brain development. Their products are targeted at families of higher economic standing with young children and besides having their own website to sell their goods and display their catalogue, they sell their products on various online e-commerce merchants and engages in digital marketing. Brainsmith has been operating for over a year but have conversion rates that are lower the industry average. With the data provided, we plan to use text analysis to identify incoming traffic patterns and clustering analysis to understand the customers’ navigation patterns on the website that leads to either purchases or exiting the website. |
Group 21 - Shiksha
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Children's Education Company | |
| Freight Data Analysis |
This project aims to study into a critical factor behind XXX’s success as a freight transportation service provider: the price of its corporate shipping contracts. Contract bidding refers to the process of XXX submitting a tender to secure a corporate contract in order to provide its freight services to a company. To secure its shipping contracts, XXX has to go through several bidding rounds with competitors, which include major players such as UPS, Fedex and other companies in the same region. By discovering insights into the factors affecting the bidding price for its shipping contracts, this better allows XXX to understand the thought process and motivation behind the bidding results of its customers, across various industries as well as different countries, and potentially better prepares them for negotiation with their customers for future contract bidding rounds by offering better terms which are of greater concern specifically for different types of customers, thus enabling them to have a higher chance of earning contracts and reaping more profits. |
Group 22 - Freighters
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | XXX | |
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Thye Hua Kuan Moral Charities (THKMC) is the charity arm of Thye Hua Kwan Moral Society. With its mission “To serve mankind”, THKMC provides assistance to the various groups in our community through more than 60 programmes and services for the elderly and the sick, families, persons with disabilities, and children. Our project focuses on their Medical Escort Transport (MET) service, which aims to transport homebound elders who are unable to attend medical appointments/treatments on their own and have no suitable or available caregiver to take them to their medical appointment/treatments. Despite being a meaningful initiative, the MET service currently faces profitability issues. Our project hopes to pinpoint the cause of the problem, and improve its efficiency so as to allow them to gain healthy surpluses. |
Group 23 - Silver Daisies
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Prof. Kam Tin Seong
Associate Professor of Information Systems (Practice) |
Thye Hua Kuan Moral Charities | |
REO |
REO is a leading property portal and geo-spatial search engine for Singapore properties through connecting demand and supply side of property market. REO has a subscription based model for commercial users to post and manage their property listings on their portal so its revenue is heavily reliant on its subscribers. To capture the growing demand and supply of the property market, REO needs to fully utilize its vast amount of collected data to increase engagement with its subscribers (commercial users). Our project would focus on analysing the data to increase engagement and creating visualisations to allow the staff to easily comprehend the data |
Group 24
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Real Estate Online (REO)
[Sanitised] |
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Chope is a Singapore-based restaurant reservation platform which connects diners to restaurants in real-time. In the past, restaurant reservations had to be made through phone calls, which could only be done during operating hours. Chope allows users to make instant reservations with zero booking or cancellation fees, with most of its revenue generated by charging restaurants fixed and per-diner fees for the use of its reservation system. With ambitions of becoming the dominant player in the region, Chope has been rapidly expanding in recent years and now serves over 2000 restaurants in Singapore, Hong Kong, Shanghai, Beijing, Jakarta and Bangkok.
Most of the restaurant reservations on the Chope system are done via its website. Hence, the marketing channel utilised most by Chope is its Electronic Direct Mailer (EDM) to its user base, featuring content such as promotional deals, new restaurant additions and curated lists. As consumers have very varied preferences in the Food and Beverages industry, Chope hopes to improve the effectiveness of its EDM campaigns through better segmentation and personalisation with the help of analytical tools, which they believe would result in an increase in the number of reservations per user from the existing user base, translating directly to more revenue being generated. |
Group 25
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | The Chope Group Pte. Ltd. | |
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PQR is a Singapore based company with over 100 branches spread across Singapore as well as a growing online presence. They have a pronounced focused on providing aid to the community. Their employees are committed to helping the community albeit the elderly, challenged youth or the environment. The company itself, contributes over 60% of their profits to the betterment of the community each year.
PQR has been facing a road block while deciding locations for their upcoming branches. They have conquered central Singapore and need a smarter method to filter out their possibilities. Our project will use location based data and find its relationship with the financial performance of PQR branches all over Singapore. Using this, we aim to find the optimal weightage of variables to supply them the company with, in order to find a location that is most in line with the client’s goals. |
Group 26 - Data Divers
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Company PQR | |
| Air Freight Data Analysis | DHL is the largest logistics firm in the industry today and they currently operate in over 220 countries and regions. Their large size and global presence have allowed them to forge many corporate accounts with other companies. In this project, we will be focusing on the analysis of air freight data of a particular account with DHL. Effective account management is vital in ensuring optimal service level provided by DHL and customer satisfaction. Currently, DHL faces issues like tracking operational performance, forecasting shipment volume and spotting trends. These problems are especially pertinent to DHL as it implies that DHL is not optimizing their shipment cargo capacity and business procedure with each account. Despite having numerous datasets, DHL have not been actively utilizing it. Currently, DHL hopes to utilize data to gain insightful and actionable insights to target the problems mentioned above.By using Power BI and Python, we will perform an analysis on a account and lane level dataset. Through this, we aim to generate insights and trends pertaining to regional, sector and trade lane levels. Subsequently, these insights will be used by DHL monitor an account’s shipment behavior, conduct meaningful conversations with customers and better plan their capacity for peak seasons. |
Group 27 - KJS
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | DHL | |
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The Straits of Malacca are one of the world’s most important trade corridors and transshipment regions, accounting for one quarter of the world’s transshipments. Furthermore, the ASEAN region is one of the fastest growing marine trade routes, as it includes many countries with developed and developing maritime infrastructure. There are 3 important ports in the Strait of Malacca, Port of Singapore, Port Klang and Port Tanjong Pelepas. Our sponsor, operates port of Singapore, one of the world’s largest ports.
Expanding a port’s capacity requires a large capital outlay. Furthermore, Singapore incurs a high opportunity cost due to its landmass constraints. Therefore, capacity planning is important to ensure that the port achieves a high utilization rate and maximizes its profit potential. Through this study, we hope to gain insights into the operation of these ports, and then use their respective strengths and weaknesses to formulate relevant operational strategies. |
Group 28 - 21 JMP SPREADSHEET
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | PSA Corporation Limited | |
Byte Syzed |
Our project sponsor, Erumpere, is a private company that aims to provide meaningful experiences to young children, between 4 to 12 years old. As the company grows, they have faced difficulties in managing their programmes and have had instances where there were too many camps that have been slotted in a week, which causes them to reschedule the programmes on another day because they did not have enough instructors to spread during that instance. The problem also extends to allocation of resources whereby there are insufficient resources and last minute problems that arise due to the lack of a proper management system to forecast the demands of the programmes. |
Group 29 - Byte Syzed
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Erumpere | |
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XYZ Web hosting company is an independent media publisher that focuses on travel and lifestyle stories for Singaporeans. They give locals trusted hyper-local information on what to do in and out of their country. This is done through their website, YouTube channel, Facebook page and Instagram. Their website is one part editorial based and one part community based where members can upload their own reviews and have their say about everything Singapore. Today, XYZ Web hosting company reaches over 3 million Singaporeans each month. |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | XYZ Web hosting company | |
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oBike is Singapore's first homegrown stationless smart bikesharing company which uses technology to change how transportation is viewed locally. It allows commuters to travel during one-way first and last mile commuting – via bicycles located all over the island. As the use of smart bike sharing becomes more prevalent, the number of indiscriminate parking is on the uprise too. oBike has received numerous tickets from Land Transport Authority (LTA), Town Council and NParks regarding bike users not parking within the marked out yellow box. The project objective(s): |
Group 31
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | oBike | |
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X is the leading e-commerce platform in Southeast Asia and Taiwan. It is a platform tailored for the region, providing customers with an easy, secure and fast online shopping experience through strong payment and logistical support. It aims to continually enhance its platform and become the region’s e-commerce destination of choice via ongoing product optimisation and localised user-centered strategies. However, despite the influx of cash, X's profitability remains questionable due to the high marketing costs incurred in expanding consumer base. Hence there is a need to for X to strengthen its market position against many other e-commerce competitors and examine ways for the company to cut costs and maximize their resource for business longevity. |
Group 32
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Pharmaceutical Company G |
