ANLY482 AY2015-16 Term 2
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Title | Analytics Practicum Description | Student Member(s) | Project Supervisor | Sponsor |
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To be confirmed | To be confirmed |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group02- Team TurnKEY
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group03- Team APSM
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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
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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
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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. |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
Ms. Antoinette Tan |
To be confirmed | To be confirmed |
Group07- Team YSR
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group08- Team AP
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group09 - Team WeiDaSha
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group10- Team AP
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group11 Team AYE
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group12 Team MYW
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group13 Team
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group14 Team HEW
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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
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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
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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
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
SMU Library |
To be confirmed | To be confirmed |
Group18
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group19
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
To be confirmed | To be confirmed |
Group20
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |