Using data visualisation to find F&B opportunities during a pandemic

This case is set in late 2021, when the food and beverage (F&B) industry globally had been significantly impacted by the COVID-19 pandemic. Tim Ang was an analyst at Singapore Management University’s Institute of Service Excellence (ISE), which had been established to help raise the performance...

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Main Authors: ANG, Marcus, CHEN, Yongchang
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
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Online Access:https://ink.library.smu.edu.sg/cases_coll_all/473
https://cmp.smu.edu.sg/case/5966
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Institution: Singapore Management University
Language: English
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spelling sg-smu-ink.cases_coll_all-14732024-02-06T07:24:11Z Using data visualisation to find F&B opportunities during a pandemic ANG, Marcus CHEN, Yongchang This case is set in late 2021, when the food and beverage (F&B) industry globally had been significantly impacted by the COVID-19 pandemic. Tim Ang was an analyst at Singapore Management University’s Institute of Service Excellence (ISE), which had been established to help raise the performance of the service sector in Singapore. Since its inception in 2008, ISE had conducted an annual study measuring the Customer Satisfaction Index of Singapore (CSISG). The CSISG covered more than 20 sub-sectors and measured over 100 companies from finance, insurance, info-communications, transportation, retail, F&B, healthcare, education, tourism, hotels, and more. Data for the customer satisfaction study for the F&B sector was typically collected in the third quarter of every year, and results were released to both the media and industry. The 2021 study revealed that while customer satisfaction and loyalty levels had remained generally unchanged for most of the F&B sector, Cafés and Coffee Houses saw a significant decline in both metrics. Yet despite the challenges, Ang believed there were significant service gaps and opportunities which could be leveraged. A detailed analysis of underperforming areas and customer preferences should provide F&B entrepreneurs with insights n potential opportunities to address industry pain points and capture market share. Students are expected to use data visualisation to understand the changes in customer preferences towards F&B during the COVID-19 pandemic and gain insights into the problem. They will be able to 1) explain the impact of data analysis and visualisation in making decisions; 2) propose an appropriate framework to study the impact of the changes; and 3) prepare a suitable dashboard to present the results. 2024-01-01T08:00:00Z text https://ink.library.smu.edu.sg/cases_coll_all/473 https://cmp.smu.edu.sg/case/5966 Case Collection eng Institutional Knowledge at Singapore Management University Customer satisfaction Analytics and Data Science Data management Data visualization Customer analysis Entrepreneurship Operations and Supply Chain Management Technology and Innovation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Customer satisfaction
Analytics and Data Science
Data management
Data visualization
Customer analysis
Entrepreneurship
Operations and Supply Chain Management
Technology and Innovation
spellingShingle Customer satisfaction
Analytics and Data Science
Data management
Data visualization
Customer analysis
Entrepreneurship
Operations and Supply Chain Management
Technology and Innovation
ANG, Marcus
CHEN, Yongchang
Using data visualisation to find F&B opportunities during a pandemic
description This case is set in late 2021, when the food and beverage (F&B) industry globally had been significantly impacted by the COVID-19 pandemic. Tim Ang was an analyst at Singapore Management University’s Institute of Service Excellence (ISE), which had been established to help raise the performance of the service sector in Singapore. Since its inception in 2008, ISE had conducted an annual study measuring the Customer Satisfaction Index of Singapore (CSISG). The CSISG covered more than 20 sub-sectors and measured over 100 companies from finance, insurance, info-communications, transportation, retail, F&B, healthcare, education, tourism, hotels, and more. Data for the customer satisfaction study for the F&B sector was typically collected in the third quarter of every year, and results were released to both the media and industry. The 2021 study revealed that while customer satisfaction and loyalty levels had remained generally unchanged for most of the F&B sector, Cafés and Coffee Houses saw a significant decline in both metrics. Yet despite the challenges, Ang believed there were significant service gaps and opportunities which could be leveraged. A detailed analysis of underperforming areas and customer preferences should provide F&B entrepreneurs with insights n potential opportunities to address industry pain points and capture market share. Students are expected to use data visualisation to understand the changes in customer preferences towards F&B during the COVID-19 pandemic and gain insights into the problem. They will be able to 1) explain the impact of data analysis and visualisation in making decisions; 2) propose an appropriate framework to study the impact of the changes; and 3) prepare a suitable dashboard to present the results.
format text
author ANG, Marcus
CHEN, Yongchang
author_facet ANG, Marcus
CHEN, Yongchang
author_sort ANG, Marcus
title Using data visualisation to find F&B opportunities during a pandemic
title_short Using data visualisation to find F&B opportunities during a pandemic
title_full Using data visualisation to find F&B opportunities during a pandemic
title_fullStr Using data visualisation to find F&B opportunities during a pandemic
title_full_unstemmed Using data visualisation to find F&B opportunities during a pandemic
title_sort using data visualisation to find f&b opportunities during a pandemic
publisher Institutional Knowledge at Singapore Management University
publishDate 2024
url https://ink.library.smu.edu.sg/cases_coll_all/473
https://cmp.smu.edu.sg/case/5966
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