Data analytics and visualization for market intelligence

With the advancements in technology, corporations have tapping on data analytics resources to improve their business model. Especially so in the business sector, the usage of data analytics helps organizations to reduce costs, gathering new leads and most importantly, gaining competitive advantage o...

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Main Author: Lim, Fong Jie
Other Authors: Yu Han
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138025
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1380252020-04-22T03:25:27Z Data analytics and visualization for market intelligence Lim, Fong Jie Yu Han School of Computer Science and Engineering han.yu@ntu.edu.sg Engineering::Computer science and engineering::Software::Software engineering With the advancements in technology, corporations have tapping on data analytics resources to improve their business model. Especially so in the business sector, the usage of data analytics helps organizations to reduce costs, gathering new leads and most importantly, gaining competitive advantage over other competitors in their own fields by understanding the customer’s behavior. In the financial sector, several banks have developed their own mobile application to bring convenience to consumers as banking functions can be accessed through the application. Hence, it’s important to constantly upgrade the functions and features of the application, in line with the consumers’ needs. WeBank, the first digital bank founded by Tencent have introduced the notion of calculating the user experience index with respect to mobile banking applications. This index is known as the WeUserExperience (WeUX) score. This project will be focused on developing a customized survey platform for WeBank, known as the WeUX survey evaluation system. This system will allow potential surveyors, such as banks, to share the survey with respondents through a unique link that is generated by the system. Potential respondents can participate in the survey and the system will record the responses and views related to the user’s experience related to the respective mobile banking applications. The evaluation system will represent the analyzed results using various data visualization methods, which provides an outlook of the WeUX score. Bachelor of Engineering (Computer Science) 2020-04-22T03:25:27Z 2020-04-22T03:25:27Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/138025 en SCSE19-0362 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Software::Software engineering
spellingShingle Engineering::Computer science and engineering::Software::Software engineering
Lim, Fong Jie
Data analytics and visualization for market intelligence
description With the advancements in technology, corporations have tapping on data analytics resources to improve their business model. Especially so in the business sector, the usage of data analytics helps organizations to reduce costs, gathering new leads and most importantly, gaining competitive advantage over other competitors in their own fields by understanding the customer’s behavior. In the financial sector, several banks have developed their own mobile application to bring convenience to consumers as banking functions can be accessed through the application. Hence, it’s important to constantly upgrade the functions and features of the application, in line with the consumers’ needs. WeBank, the first digital bank founded by Tencent have introduced the notion of calculating the user experience index with respect to mobile banking applications. This index is known as the WeUserExperience (WeUX) score. This project will be focused on developing a customized survey platform for WeBank, known as the WeUX survey evaluation system. This system will allow potential surveyors, such as banks, to share the survey with respondents through a unique link that is generated by the system. Potential respondents can participate in the survey and the system will record the responses and views related to the user’s experience related to the respective mobile banking applications. The evaluation system will represent the analyzed results using various data visualization methods, which provides an outlook of the WeUX score.
author2 Yu Han
author_facet Yu Han
Lim, Fong Jie
format Final Year Project
author Lim, Fong Jie
author_sort Lim, Fong Jie
title Data analytics and visualization for market intelligence
title_short Data analytics and visualization for market intelligence
title_full Data analytics and visualization for market intelligence
title_fullStr Data analytics and visualization for market intelligence
title_full_unstemmed Data analytics and visualization for market intelligence
title_sort data analytics and visualization for market intelligence
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/138025
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