Analytics And Intelligent Systems

NUS ISS AIS Practice Group

Do Urban Tourism Hotspots Affect Berlin Housing Rents — October 15, 2018

Do Urban Tourism Hotspots Affect Berlin Housing Rents

Slide1

Team Members:

Student ID Name
A0178551X Choo Ming Hui Raymond
A0178431A Huang Qingyi
A0178415Y Jiang Zhiyuan
A0178365R Wang Jingli
A0178500J Yang Chia Lieh
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Forecasting Customer Lifetime Value: A Statistical Approach — June 8, 2017

Forecasting Customer Lifetime Value: A Statistical Approach

The objective of the study is to predict the lifetime value of a customer with the customer database to quantify the customer’s worth to an organisation and come up with an appropriate CRM strategy to either retain the customer or invest on new customers.

Journal 1

Click here for journal

-Submitted By
Abhinaya M [A0163311W],
Allen Geoffrey Raj [A0163398R],
Aravind Somasundaram [A0163301X],
Preethi Jennifer [A0163190L],
Ram Nagarajan [A0163247E]

 

Customer Churn Prediction in the Telecommunications Sector Using Rough Set Approach — June 5, 2017

Customer Churn Prediction in the Telecommunications Sector Using Rough Set Approach

This study aims to develop an improved customer churn prediction technique, as high customer churn rates have caused an increase in the cost of customer acquisition. This technique will be developed through identifying the most suitable rule extraction algorithm to extract practical rules from hidden patterns in the telecommunications sector.

Screen Shot 2017-06-05 at 7.02.06 PM

Submitted by:
Arun Kumar Balasubramanian
Devi Vijayakumar
Sunil Prakash
Gaelan Gu
Sambit Kumar Panigrahi

Recurrent Neural Networks for Customer Purchase Prediction on Twitter —

Recurrent Neural Networks for Customer Purchase Prediction on Twitter

Objective: To identify whether a user will buy a product based on their sequential tweets and to improve the prediction of customer purchase. It is also to eliminate the non-buyers based on tweets.

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Source: Recurrent Neural Networks For Customer Purchase Prediction on Twitter

Submitted By: Ashok Kuruvilla Eapen, Abhilasha Kumari, Pranav Agarwal, Navneet Goswami and Rohit Pattnaik

Objective
This Study was done to understand the impact of culture to win back defected customers. This study was conducted on college age consumers in America and China. This segment of consumers are target consumers of many technology and personal services.
Hypotheses
H1: Chinese customers, when compared to American customers, will be more influenced by WOW offer when deciding on switching back to original provider
H2: Chinese Customers will be more influenced by relative social capital when deciding on switching back
H3: Chinese Customers will be less influenced by their post-switching regret when decide to switch back

ChineseCulture

 Source: https://faculty.unlv.edu/gnaylor/JCSDCB/Volume25/Liu_etal.pdf”>

CONSIDERING CULTURE TO WIN BACK LOST CUSTOMERS: COMPARING CHINESE AND AMERICAN CONSUMERS
Submitted by:
Muni Ranjan<A0163382E>, Pradeep Kumar<A0163453H>, Anusuya Manickavasagam<A0163300Y>, Khine Zin Win<A0163222U>

Customer Acquisition and Retention Spending: An Analytical Model and Empirical Investigation in Wireless Telecommunications Markets — June 3, 2017

Customer Acquisition and Retention Spending: An Analytical Model and Empirical Investigation in Wireless Telecommunications Markets

Slide1

Journal Summary for Customer Relationship Management (EB5203) Assignment by Min, Sungwook, et al. The Journal modeled Acquisition and Retention Costs in the Telecommunication industry based on 3 factors: market leader, number of competing firms, and market penetration.

Team Members: Lynette Seow Hui Xin, Meng Yang, Raghavendra Shanthappa, Stella Ellyanti

A Hybrid Segmentation Approach for Customer Value —
Healthcare – Relationship between HealthCare Cost and Insurance Purchase — April 30, 2017

Healthcare – Relationship between HealthCare Cost and Insurance Purchase

The US Government has launched Affordable Care Act (ACA) to reduce healthcare insurance cost in  US , which is categorized by its expensive healthcare system .The study aims at understanding the  effect of the Act on healthcare cost in US by performing multiple linear regression and identifying the relationship between healthcare cost and insurance purchase

Journal: A Discussion about the Healthcare Costs and Insurance Purchase. Xinhe (Tina) He. Operations Management. Fisher College of Business, The Ohio State University 820 Fisher Hall, 2100 Neil Avenue Columbus, OH 43210 .Advised By: Dr. Kewei Hou

 

Click here for Reference link

Submitted by:

Abhinaya Murugesan [A0163311W]
Allen Geoffrey Raj [A0163398R]
Kavya AK [A0163250R]
Preethi Jennifer R [A0163190L]

Distressed Company Prediction using Logistic Regression: Tunisian’s Case —

Distressed Company Prediction using Logistic Regression: Tunisian’s Case

Many firms react very late or improperly facing the first signs of distress. This delay generally results from a lack of understanding of the mechanisms and causes the degradation of process and an obvious lack of foresight. This journal aims to develop a model for predicting corporate default based on a logistic regression (logit) and applied to the case of Tunisia. The following is our one page summary.

Data Panda2

Keywords: distressed firms, forecasting model, logistic regression model.

Click here for the research journal

Team Name: Data Panda

Team Members: QIN SI, NIE BIXUAN, ZHANG DONGXUE, LIUCONG

 

Can Australian Universities take measures to increase the lecture attendance of Marketing students? — April 29, 2017

Can Australian Universities take measures to increase the lecture attendance of Marketing students?

Da Chu

Team Memeber:

ZIXIN WANG, YONGJIE ZHANG, SHENG DONG, DA CHU

Reference:

Dolnicar, S., Kaiser, S., Matus, K. & Vialle, W. (2009). Can Australian universities take measures to increase the lecture attendance of Marketing students? Journal of Marketing Education, 31(3), 203-211.

DOI: http://dx.doi.org/10.1177/0273475309345202

PDF: http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1743&context=commpapers