ANLY482 AY2015-16 Term 2

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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
To be confirmed	To be confirmed	Group01- Team Skulptors LEONG Junkang, Gabriel TAN Siying ZHOU Xuanyi	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group02- Team TurnKEY Kang Long Elizabeth Tan Yi Sheng, Lim	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group03- Team APSM TAN Jhun Boon YAP Jessie OH Peng Ho	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
Research Recommendation to aid Researchers	To improve collaboration and produce high quality research works, through analyzing and understanding collaboration efforts among the authors.	Group04- Team ATOM Macus KHOO JunHao YAN ShaoHong Chris YO Wee King	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Prof. Swapna & Prof. Venky Professor of Information Systems Singapore Management University
To be confirmed	To be confirmed	Group05- Team AP WANG Shyan Ann NG Tse Siong Sherman YONG Chin Wei	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
Skyscanner Content Analysis	The project aims to help with Skyscanner's analyse its content sites in order to facilitate better planning. It will help understand the factors that affect content performance. Deliverables include creating a dashboard with visualizations that will help Skyscanner team to track the performance of articles across weeks and months, matched to trends and seasonality. It will be used to validate some of the intuitions they might have about certain content topics/types and to determine the best time to publish them. The dashboard will benchmark certain metrics against pageviews as well as additional attributes that Skyscanner does not currently analyse via Google Analytics, such as the impact of title, text length, theme of article and number of images. The team will also analyse content pages to determine what differentiates good and bad content based on certain performance metrics. This will be done through Text Mining (Topic Analysis), Content Crawling, MLR and matching with Google Trends API. Data set includes data from Skyscanner websites for the Singapore, Malaysia and Thailand markets.	Group06- Team SkyTrek Aseem PRABHAT Jedaiah TAN Jia Le NGUYEN Viet Huy	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Ms. Antoinette Tan Content Manager, APAC Skyscanner
To be confirmed	To be confirmed	Group07- Team YSR Ridwan Ismeer Sadhvi Ilango Yashraj Jalota	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group08- Team AP Erwin Trinh Hiep Dang Khoa Nyein Su Aye	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group09 - Team WeiDaSha Lim Wei Yang Darren Lim Shane Goh	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group10- Team AP Jeanne Sim Peh Wuen Lim Hui Ting Jaclyn Lim Hui Ting	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group11 Team AYE Audrey Lee Zhi Ying Edwin Tan Soon Hong Toh Yan Ying	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group12 Team MYW Melissa Lim Seok Yu Tan Wei Liang Tan Yu Ling	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group13 Team Sng Ei Leen Wong Jia Wei Tan Ziling Amy	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group14 Team HEW Huai Zher Elijah Tan Yi Rong Winston Ong Bing Shen	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Tokio Marine Asia
Coming soon...	To provide a client in healthcare industry with descriptive analytics tools for public health monitoring and intervention	Group15 Nguyen Le Hong Ngoc Poh Jin Hui Zhao Yazhi	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	Khoo Teck Puat Hospital & SMU T-Lab
To be confirmed	To be confirmed	Group16 Blackbox Chen Xueye Zeng Jiadong Zheng Wei	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
Analysis of User Behavior on Library eBooks	Using the EZProxy logs, we will be conducting an analysis of the user behavior on the usage of eBooks available on the library's website. Based on the different patterns and trends in user behavior, we will be providing recommendations to maximise the effective use of the eBooks.	Group17 Team ASH Nur Amirah Bte Mohd Noor Gan Sze Huey	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	SMU Library Aaron Tay, Manager, Library Analytics & Research Librarian Nursyeha Binte Yahaya, Librarian
To be confirmed	To be confirmed	Group18 Denise Quek Si Ying Tan Wei Song	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group19 Pooja Tulsyan Akshat Agarwal	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed
To be confirmed	To be confirmed	Group20 Ng Ngee Heng, Eugene Wilson Wong Pham Minh Khoa	Prof. Kam Tin Seong Associate Professor of Information Systems (Practice)	To be confirmed