Getting the next swipe: Improving customer loyalty for OCBC bank credit cards

This case is set in 2020. In the latest credit cards sub-sector report from the Customer Satisfaction Index of Singapore (CSISG) survey by the Institute of Service Excellence (ISE) at the Singapore Management University, OCBC Bank’s credit card business was ranked last again in terms of customer sat...

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Main Authors: ANG, Marcus, CHEN, Yongchang, DARENDELI, S. Pinar
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
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Online Access:https://ink.library.smu.edu.sg/cases_coll_all/402
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Institution: Singapore Management University
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spelling sg-smu-ink.cases_coll_all-13832023-11-23T06:42:47Z Getting the next swipe: Improving customer loyalty for OCBC bank credit cards ANG, Marcus CHEN, Yongchang DARENDELI, S. Pinar This case is set in 2020. In the latest credit cards sub-sector report from the Customer Satisfaction Index of Singapore (CSISG) survey by the Institute of Service Excellence (ISE) at the Singapore Management University, OCBC Bank’s credit card business was ranked last again in terms of customer satisfaction, while an analysis of two key customer loyalty metrics, namely ‘likelihood to use the credit card again’ and ‘likelihood to recommend their card’, saw the bank faring only slightly better for the former, but again ranked last for the latter. Given these findings, Tammy Ang, an analyst at ISE, had been tasked with preparing a business consulting pitch for OCBC Bank’s credit card business. Using her skills in business analytics, Ang hoped to use the data to provide useful insights for the bank to improve its customer loyalty performance. The case reinforces data processing, regression analysis, and numerical computation skills. Specifically, students will solve the problems using Excel, Tableau and R. After completing the assignment questions, the students will be able to: understand the impact of data analysis and visualisation in making decisions, propose a regression model to explain the dependent variable and evaluate its predictive performance, and evaluate the performance of a company based on the results of the regression analysis. 2022-02-01T08:00:00Z text https://ink.library.smu.edu.sg/cases_coll_all/402 https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-21-BATCH%20%5BPDF-Pic%5D/SMU-21-0044%20%5BOCBC%20Bank%20Credit%20Cards%5D/SMU-21-0044%20%5BOCBC%20Bank%20Credit%20Cards%5D.pdf?CT=1644421590750&OR=ItemsView Case Collection eng Institutional Knowledge at Singapore Management University Credit Cards Customer Loyalty Credit and Loans Industry Competitor Analysis Regression Analysis Customer Acquisition Business Administration, Management, and Operations
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Credit Cards
Customer Loyalty
Credit and Loans Industry
Competitor Analysis
Regression Analysis
Customer Acquisition
Business Administration, Management, and Operations
spellingShingle Credit Cards
Customer Loyalty
Credit and Loans Industry
Competitor Analysis
Regression Analysis
Customer Acquisition
Business Administration, Management, and Operations
ANG, Marcus
CHEN, Yongchang
DARENDELI, S. Pinar
Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
description This case is set in 2020. In the latest credit cards sub-sector report from the Customer Satisfaction Index of Singapore (CSISG) survey by the Institute of Service Excellence (ISE) at the Singapore Management University, OCBC Bank’s credit card business was ranked last again in terms of customer satisfaction, while an analysis of two key customer loyalty metrics, namely ‘likelihood to use the credit card again’ and ‘likelihood to recommend their card’, saw the bank faring only slightly better for the former, but again ranked last for the latter. Given these findings, Tammy Ang, an analyst at ISE, had been tasked with preparing a business consulting pitch for OCBC Bank’s credit card business. Using her skills in business analytics, Ang hoped to use the data to provide useful insights for the bank to improve its customer loyalty performance. The case reinforces data processing, regression analysis, and numerical computation skills. Specifically, students will solve the problems using Excel, Tableau and R. After completing the assignment questions, the students will be able to: understand the impact of data analysis and visualisation in making decisions, propose a regression model to explain the dependent variable and evaluate its predictive performance, and evaluate the performance of a company based on the results of the regression analysis.
format text
author ANG, Marcus
CHEN, Yongchang
DARENDELI, S. Pinar
author_facet ANG, Marcus
CHEN, Yongchang
DARENDELI, S. Pinar
author_sort ANG, Marcus
title Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
title_short Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
title_full Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
title_fullStr Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
title_full_unstemmed Getting the next swipe: Improving customer loyalty for OCBC bank credit cards
title_sort getting the next swipe: improving customer loyalty for ocbc bank credit cards
publisher Institutional Knowledge at Singapore Management University
publishDate 2022
url https://ink.library.smu.edu.sg/cases_coll_all/402
https://smu.sharepoint.com/sites/admin/CMP/cases/SMU-21-BATCH%20%5BPDF-Pic%5D/SMU-21-0044%20%5BOCBC%20Bank%20Credit%20Cards%5D/SMU-21-0044%20%5BOCBC%20Bank%20Credit%20Cards%5D.pdf?CT=1644421590750&OR=ItemsView
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