Difference between revisions of "ANLY482 AY2017-18 Term 2"
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<td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group01 Know-Thy-Deals]</td> | <td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group01 Know-Thy-Deals]</td> | ||
− | <td> | + | <td> 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. |
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+ | 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. | ||
+ | </td> | ||
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<b>Group 01 - sat@eatigo </b> | <b>Group 01 - sat@eatigo </b> | ||
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<td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group_18 In_progress]</td> | <td>[https://wiki.smu.edu.sg/ANLY482/ANLY482_AY2017-18T2_Group_18 In_progress]</td> | ||
− | <td> | + | <td> In_Progress </td> |
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<b>Group 18 - Team DAcct </b> | <b>Group 18 - Team DAcct </b> |
Revision as of 15:26, 13 January 2018
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Project Title | About the Project | Student Member(s) | Project Supervisor | Sponsor |
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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
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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.
|
Group 02 - Josh & Fried Investigations |
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Arup Singapore Pte. Ltd. |
Describe the content of the project. It should not be more than 350 words. |
Group 03
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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
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | SGAG Media Pte. Ltd. |
Red Dot Payment | In Progress |
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 | Describe the content of the project. It should not be more than 350 words. |
Group 06
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | pH7 Investment |
Predictive Parking Enforcement - Tackling indiscriminate parking by bike-sharing users | In_Progress. |
Group 08
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | oBike Asia Pte. Ltd. |
Koi Logistics Analysis |
insert description here |
Group 09
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | KOI Thé Singapore Pte Ltd |
In_progress | In_Progress |
Group 11 - T.W.O
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | T.W.O Logistic Company |
Arts Company X |
insert description here |
Group 12
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Arts Company X |
Training Integrated Management System | In_Progress. |
Group 13
|
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.
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Group 14
|
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
|
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
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Young Men's Christian Association (YMCA) |
In_progress | In_Progress. |
Group 17
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | National Council of Social Service |
In_progress | In_Progress |
Group 18 - Team DAcct
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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
|
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
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Children's Education Company |
Freight Data Analysis | In_Progress. |
Group 22
|
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
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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
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Singapore Pools Ltd. |
In_progress | In_Progress. |
Group 27
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Logistics Company |
In_progress | In_Progress |
Group 28
|
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
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Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | Erumpere |
In_Progress |
*In progress* |
Group 30
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | XXX |
In_progress | In_Progress. |
Group 31
|
Prof. Kam Tin Seong Associate Professor of Information Systems (Practice) | oBike |