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2024 MSBA 5th Cohort Capstone Project Final Presentation Successfully Concludes

2025.03.07 Views 276 국제실

2024 MSBA 5th Cohort Capstone Project Final Presentation Successfully Concludes

 

 

The 2024 MSBA Capstone Project Final Presentation, hosted by the Center for Digital Transformation & Business (CDTB, Director: Professor Kyung Sam Park) at Korea University Business School (Dean: Professor Eonsoo Kim), took place on Friday, January 17, in Rooms 432 and 433 of the LG-POSCO Hall. The capstone project participants were Master’s students majoring in Business Analytics within Korea University Business School. A total of 11 teams collaborated with corporate partners, analyzing business data provided by the companies and proposing innovative business models. The event brought together presenters, corporate representatives, and faculty members, who assessed the students' year-long projects and confirmed their eligibility for graduation. This year, seven corporate partners participated in the 5th Capstone Project: LG CNS, Hyundai Motor Company, Samil PwC, E-Land Group, Korea Credit Information Services (KCIS), Woori Card, and LG H&H. 

 

 

Team 1 (Minkyu Kim, Jungmin Lee, Yoon Young Lee) presented on ‘Loyalty Program Activation Strategies: Increasing Response Rates through Effective Partnership Proposals and Target Selection.’ 

 

Team 2 (Siyeon Shin, Hyeshin Park, Seungjung Lee) conducted a study on ‘Digital Marketing Strategies through Woori Card Customer Segmentation: Focusing on Customers in Their 20s to Early 30s.’ 

 

Team 3 (Youngjae Ham, Kiah Lee, Hyunah Ji) analyzed ‘Consumption Patterns of Target Groups for Profitability Enhancement and Development of a Credit Card Recommendation Algorithm.’ This team received Honorable mention. 

 

Team 4 (Minsik Shin, Donghyun Kim, Seungjoo Lee) developed a ‘Deep Learning-Based Time Series Model for Sales Forecasting and Promotional Proposals to Minimize Supply Risks.’ Their academic advisor, Professor Kihoon Kim, praised their work, stating, "Even the company expressed interest in utilizing the research results, which is truly remarkable." This team won the Grand Prize. 

 

Team 5 (Hyungrae Jo, Minseok Jeon, Jieun Han) presented on ‘Product Improvement and Marketing Strategy through Review Data Analysis: Case Study on LG H&H's HBD (Shampoo & Body Lotion) Products.’ An LG H&H representative commented, "The insights from the review data analysis will be referenced in our internal marketing strategies. We look forward to meet again at the company in an even better capacity in the future." 

 

 

Team 6 (Boncheol Koo, Gabin Park, Yoojung Lim) explored ‘Seasonal Discount Strategies Based on Price Sensitivity: Optimal Discount Timing and Rates for Maximizing Mid-Season Sales and Inventory Optimization in Late-Season - A Case Study on SPAO.’ 

 

Team 7 (Seunghwan Ji, Eunhye Eom, Seunghoon Park) conducted research on ‘Financial Behavior of Foreign Residents in Korea.’ 

 

Team 8 (Kyunghwa Lee, Yookyung Ko, Wonha Shin) presented on ‘Development of a Credit Rating Estimation Model Using Interest Rate Spreads and the Impact of Credit Rating Declines on Insurance Portfolio Composition.’ Their academic advisor, Professor Heebum Lee, commended the team, saying, "Developing this model is a complex process, and you have done an excellent job." This team received Honorable Mention. 

 

Team 9 (Dasom Lee, Ahyoung Kim, Sungjin Jeon) worked on ‘Developing a Consulting Business Solution Based on Causal Inference Models.’ 

 

Team 10 (Jeongeun Oh, Jakyoung Lee, Sujin Lee) presented on ‘Building a Document Image Structuring Process Using Vision-Language Models.’ This team received an outstanding award. 

 

Team 11 (Eunchae Kim, Chanyoung Jung, Dongkwon Kim) developed a ‘Chatbot System for Natural Language Question-Answering Using the RAG Technique in LLMs.’ This team also received an outstanding award. 

 

 

All 11 teams successfully passed the final evaluation, marking the completion of their projects. Wrapping up the event, Professor Kyung Sam Park, Director of CDTB, expressed gratitude, stating, "These projects were made possible thanks to the continuous data support and feedback from our industry cooperation partners. I sincerely appreciate everyone who took the time to attend despite their busy schedules."