ANLY482 AY2017-18 Term 2

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Project Title	About the Project	Student Member(s)	Project Supervisor	Sponsor
Know-Thy-Deals	Our project sponsor, eatigo, currently has 2 million registered users. Out of this, only 30% have ever made a reservation through Eatigo. Even amongst this 30%, reservation and reactivation rates remain low as each customer makes only 1.6 bookings on average per month. Our sponsor believes that there is higher potential, given their presence in markets such as Singapore and Thailand, both of which, are amongst the top 3 spenders in South-East Asia when it comes to dining out. Eatigo’s business model is such that it earns revenue when customers show up for their booking. For every customer that does show up, Eatigo receives a certain fee from the vendors. Therefore, it is crucial for eatigo to have a good vendor listing (so customers are interested in making their booking through eatigo) and ensure that customers are aware of these vendor listings and discounts available (so customers are incentivized to make their booking through eatigo). To do this, our sponsor would like us to develop intelligence about customer dining patterns by utilizing Eatigo’s transaction, redemption and vendor data. Eatigo can leverage on this intelligence to not only optimize its yield management but also attract new vendors.	Group 01 - sat@eatigo Arushi Himatsingka Shubhangi Agarwal Tanushree Rohera	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	eatigo Pte. Ltd.
Close-the-Loop	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. Parts of design specification may be found to require revision after feedback from contractors, and we hypothesize that these specifications requiring re-design can be predicted, not only to identify them, but also the kind of re-design that may be necessary. By using past design data and the redesign requests received in response to them, we can help engineers provide design specifications that are less likely to require re-design, hence using data to close the loop on design.	Group 02 - Josh & Fried Investigations Ang Zhuang Kai Friedemann Josh Ho Xian Zheng	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Arup Singapore Pte. Ltd.
OPTEAMIZATION	Describe the content of the project. It should not be more than 350 words.	Group 03 Chua Weilun, Ben Tay Jing Ying Russell Yap Song Chen	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	YCH Group Pte Ltd
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 Shaun Au Yong Liang Wei Tan Jieying Jaqueline Karen Koh Li Yin	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	SGAG Media Pte. Ltd.
Red Dot Payment	In Progress	Group 05 Randolph Pang Hsieh Yi Ong Rui Zhi Zachary Loke Kei Yun	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. However, with the growing popularity of big data analytics, our sponsor recognize the need for a paradigm shift in their approach of trading. Hence, our team aims to design a unique predictive model for a currency pair from our data analysis. We would analyse preliminary data and undertake information research. Following which, we would build a predictive algorithm and do a strategy testing to validate the model. This would allow them to gain insights of potential predictions of market movements from an analytics perspective. With the gained knowledge and predictive model, they would be able to make better informed decisions about their trade executions.	Group 06 Chong Zhi Hao Kevin Lim Yan Ling Tee Yu Xuan	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	pH7 Investment
Predictive Parking Enforcement - Tackling indiscriminate parking by bike-sharing users	In_Progress.
Data Heavy Legends(DHL)	Describe the content of the project. It should not be more than 350 words.	Group 07 Akshay Nayak Rikin Khanna Shalabh Verma	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	[1]
Predictive Parking Enforcement - Tackling indiscriminate parking by bike-sharing users	In_Progress.	Group 08 Heng Chai Lin Catherine Pang Jia Hao, Shawn Seah Li Jia Desiree	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	oBike Asia Pte. Ltd.
Koi Logistics Analysis	insert description here	Group 09 Toh Ling Jing, Angie Phang Shi Jia Ryan Chia Cheng Yu	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	KOI Thé Singapore Pte Ltd
In_progress	In_Progress	Group 11 - T.W.O Tan Zheng Hao, Marcus Wu Jianhua Oh Yi Hong	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	T.W.O Logistic Company
Arts Company X	insert description here	Group 12 Aaron Poh Weixin Jia Min Leong	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Arts Company X
Training Integrated Management System	In_Progress.	Group 13 Chee Yixin Jerlyn Cheow Wan Ling Taffy Joan Park Jaehyun	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Logistic Company XYZ
Delivery Schedule Optimisation	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. Company X is maintaining two data sets, which retrieved from twp different data warehouses. Data set 1 includes all inbound delivery records while data set 2 focuses mostly on B2C inbound deliveries. The first task from Company X is to combine the two data sets of different formatting into an unified data format. On the other hand, due to the high volume of delivery, Company X has a hard time optimizing the delivery schedule. They want to improve the successful first-time delivery rate in order to improve user experience. A visualized dashboard will be built based on the delivery information. We would also asked to find any trends and patterns that are meaningful to our client.	Group 14 Tan Yong Jin Wang Miaoqiong Wu Wei	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Logistic Company X
Beverage Company X	Beverage Company X has established more than 80 years of brewing excellence and has a portfolio of beers that is available over 75 markets globally.	Group 15 Amanda Lim Hui Wen Cliff Halim Tirtamaya Yorisan Khosugi	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	[Beverage Company X]
Assessing success factors and impact of YMCA's programmes	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.	Group 16 - Village People HON Liang Yi Jonathan Eduard Chua LIM Nur Amirah Binte SAHROM	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Young Men's Christian Association (YMCA)
In_progress	In_Progress.	Group 17 Gan Wen Xuan Damien Lewis Poh Yu Gui Louis Tan Kai Huang	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	National Council of Social Service
XYZ 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 Low Zhen Qing Jonathan Mok Ping Yan Soma Song Yea Ram	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	XYZ Pte. Ltd.
Staff scheduling and route plan for home nursing nurses	This project aims to provide a staff scheduling and route plan for nurses who are providing routine checkups and other services to the elderly in the comfort of their own homes. We aim to develop an algorithm, taking into consideration the appointment duration, traveling time to the patient’s location and other constraints to optimise the schedule for the nurses. This algorithm will be able to be used by all home health care foundations in the future to help them schedule their nurses efficiently.	Group 19 - Group Name Joanne Ong Shi Ying John Koh Wei De Rachel Tay	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Fujitsu-SMU Urban Computing and Engineering (UNiCEN) Corp. Lab
Web Analytics for a Children's Education Company	In_Progress.	Group 21 - Shiksha Poh Wen Jie Prajval Jhunjhunwala Wang Weiting Eunice	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Children's Education Company
Freight Data Analysis	In_Progress.	Group 22 Teo Pei Sheng Nicholas Zhang Qian Dong Ruiyan	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	DHL Singapore
Improving Chope’s marketing campaigns though data analysis	Chope is a 24/7, free-of-charge, instantly-confirmed, restaurant reservations company.Trusted by a network of over hundreds of restaurants in Singapore, Hong Kong, Shanghai and Beijing, they offer a seamless dining experience starting with easy reservations because life is too short to wait in line. Most of the restaurant reservations on the Chope system are done on its website. Hence, the marketing channel utilised most by Chope is Electronic Direct Mailer (EDM) to its user base, featuring content such as promotional deals, new restaurant additions and curated lists. As consumers have different preferences, Chope hopes to improve the effectiveness of its EDM campaigns by having more segmentation and personalisation of their marketing campaigns, 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 Au Zhe Wei Jonathan Ng Bing Yao Manfred Yak Sze Hao	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	The Chope Group Pte. Ltd.
Geospatial Analysis for Branch Location Optimization	Describe the content of the project. It should not be more than 350 words.	Group 26 - Data Divers Shraddha Ramesh Vani Sound	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Singapore Pools Ltd.
In_progress	In_Progress.	Group 27 Sonea Kribaraja Chew Pei En Jozanne Kanchen Kummar	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Logistics Company
In_progress	In_Progress	Group 28 Abhyudit Dev Fabian Lim Wei Xuan Meher Gulati	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	XYZ Corporation Pte. Ltd.
Byte Syzed	*Analytical tool for a childcare company*	Group 29 - Byte Syzed Edwin Peter Abdul Shafiq Bin Mohd Yussaini	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Erumpere
APex	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. Our group aims to synthesize data from multiple platforms such as Facebook, Instagram, Youtube and blogs to deliver coherent and strategic insights for XYZ to improve their social media outreach as well as plan for content creation.	Group30 - APex Eric Yeo Pu Zhong Ivan Tan Yong Siang Tang Shing Hei	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	XYZ Web hosting company
In_progress	In_Progress.	Group 31 Chia Chek Wei Lim Ching Ye Lim Yee Khang	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	oBike