ANLY482 AY2015-16 Term 2
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| Title | Analytics Practicum Description | Student Member(s) | Project Supervisor | Sponsor |
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| Optimizing Warehouse Processing | Today, a local multi-national corporation faces the same adversity as many others – the plight of unworked data. Visualizations of the data provided by their in-house warehousing solution has proven to be difficult and much of the information is not placed to better use. The company hopes to solve 3 main issues, namely how they should categorize their warehouse supplies into ABC categories (each category refers to how fast the goods move) to store their goods in the best location available, how can their data be visualized better so that it is easier for employees to see, and how can their warehouses be utilized to the fullest to ensure minimal wastage. Our team, Skulptors, will be developing a dashboard application to solve the issues of this company. Control charts will be used to depict control of the movement of the SKUs, identifying which type of products have excessive or lack of movements from the warehouse. Treemaps will be used to identify products or SKUs that have minimal utilization of warehouses, and also to identify which warehouse location is not fully utilized. Java add-ons will be used to facilitate additional functions, such as allowing the upload of an excel file to update the database. This allows for our solution to remain sustainable. Time series line graphs will also be used for easy display of inflow and outflow rate of specified SKUs. |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
A local multi-national corporation (MNC)
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| Analysis of User and Merchant Dropoff for Sugar App | To be confirmed |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| Teppei Syokudo - Improving Store Performance | Teppei Syokudo is a Japanese Food and Beverage chain, under the umbrella of the famous Teppei Japanese Restaurant. In order to drive store performance through controllable factors, Teppei Syokudo is looking at focusing on staff performance. Most F&B businesses, including Teppei Syokudo, do not set detailed KPIs to evaluate how their staff are performing. If Teppei Syokudo is able to track the performance of their staff through relevant KPIs, they will be able to motivate staff to meet these KPIs, which will in turn boost the business’ bottom line.Teppei Syokudo has identified the following KPIs to assess their staff:
However, the business is uncertain if these are the right KPIs to set. Also, if they are the right ones, they are unsure as to what would be a good target to meet. Another factor for driving store performance is through product portfolio mix. Even though the staff may be up-selling and cross-selling, they may not know the right products to cross-sell to increase the probability of the customer making additional purchases. For example, most customers may tend to purchase Drink X together with Don X. In this case, if a customer orders Don X and is about to make payment, the staff can suggest Drink X to the customer, hence prompting a higher probability for the customer to purchase Drink X. |
Group03- Team APSM
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Itaru Nagao,
Managing Director YCP Management Southeast Asia Pte. Ltd. YCP Retailing SEA Pte. Ltd. |
| Car Park Overspill Study | The objective of this project is to assist Media Research Consultants Pte Ltd (MRC) in understanding the current parking situations in 65 different locations in Singapore. These 65 parking locations compromise of 30 retail malls, 15 retails and Food & Beverage (F&B) clusters in landed housing estates, 10 hawker centers, and 10 community clubs. |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| 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 |
| Health Analytics | To build a web application that utilises GIS functions for geospatial planning and analysis. This application aims to facilitate the computation and analysis of Health Promotion Board (HPB) KPI reporting metrics. The insights generated from the application will be used to manage Health Promotion Programme and Outreach Planning. |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Health Promotion Board |
| To be confirmed | To be confirmed |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| Urban Analytics for Planning Support System | 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 |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| Health Analytics | To be confirmed |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| Natasha Studio | To analyse the purchasing behaviour of Natasha Studio’s customers and provide sales and marketing recommendations. |
Group13 Team Ameilax
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Larry Liu,
Business Manager Natasha Studio |
| Marketing Analytics at Tokio Marine | To develop a database analysis to formulate a demographic and psychographic profile of Tokio Marine's customers | Group14- Team HEW
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Benito Mable
Vice President, New Opportunities Tokio Marine Asia |
| KTPH Public Health |
The project is part of an ongoing effort to adopt data visualization to monitor public health by KTPH. Based on data from health screening and KTPH alignment programs, a dashboard can be constructed to assist health officers of KTPH to observe public health conditions, single out unhealthy individuals, and monitor their health progress. Additionally, the dashboard serves as a means to evaluate effectiveness of KTPH alignment programs to improve public health, and provide insights that can refine these programs to better target the population in future. As a follow-up of an IS480 project by team Cinquefoil, the aim is to improve the KTPH dashboard by adopting a richer set of visualization techniques, so as to enable a more user-centric data querying and discovery process. Specifically, KTPH users will be able to use the dashboard to identify unhealthy individuals of the population, the areas they are in, take appropriate actions and monitor the results of such actions As such, the objectives of our analytics project consist of the following:
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Group15
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Khoo Teck Puat Hospital & SMU T-Lab |
| Car Park Overspill Study | To be confirmed |
Group16 Blackbox
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| To be confirmed | To be confirmed |
Group17 T(eam)ROLL
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) |
To be confirmed |
| To be confirmed | To be confirmed |
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
| Inpatient Meals Survey | To be confirmed |
Group19
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Jason Soriano MRC Mediacorp |
| To be confirmed | To be confirmed |
Group20
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | To be confirmed |
