Oricon Provides Survey Data to Nagoya University's Practical Data Scientist Training Program: Collaborative Analysis of Automobile Insurance via Customer Satisfaction
Oricon Inc. is providing three years of customer satisfaction survey data on automobile insurance to Nagoya University's Practical Data Scientist Training Program. This industry-academia initiative involves professionals and graduate students collaborating to analyze customer needs using statistics and Natural Language Processing (NLP).
📋 Article Processing Timeline
- 📰 Published: April 27, 2026 at 20:00
- 🔍 Collected: April 27, 2026 at 11:31
- 🤖 AI Analyzed: April 28, 2026 at 00:00 (12h 28m after Collected)
Oricon Inc. (Location: Minato-ku, Tokyo; President: Hisashi Koike) will provide Oricon Customer Satisfaction Survey data to the '2025 DS 2nd Term Real-World Data Exercise' within the Practical Data Scientist Training Program conducted by Nagoya University's Center for Mathematical, Data Science, and Artificial Intelligence Education and Research.
Practical Data Scientist Training Program: https://www.mds.nagoya-u.ac.jp/ds-program
In this exercise, enrolled working professionals and graduate students form groups and work on solving issues faced by organizations using real data provided by companies and organizations.
The theme proposed by Oricon this time is 'Analyzing Automobile Insurance from Customer Satisfaction.' Based on the past three years of survey data (2024-2026) regarding automobile insurance rankings collected by Oricon, each group will analyze key points emphasized by customers and work on building prototypes aimed at streamlining the analysis process.
The exercise is scheduled to start in April 2026, followed by an interim report meeting in May and a theme report meeting in July, with a final report to be submitted to the company in late July. The graduation ceremony will be held on September 24 (Thursday).
[Task Theme]
Analyzing Automobile Insurance from Customer Satisfaction: Challenging the Essence of Service with Statistics and NLP
[Data Provided]
Quantitative and qualitative data regarding Oricon Customer Satisfaction Survey Automobile Insurance Rankings (Three years of announced data from 2024 to 2026)
[Schedule]
April 8: Start of Real-World Data Exercise
May 26: Interim Report Meeting
Mid-July: Task Report Meeting
July 23: Final Report Submission
September 24: Graduation Ceremony
Oricon Customer Satisfaction will continue to aim at turning satisfaction with products and services into information, thereby enhancing life satisfaction within society.
Practical Data Scientist Training Program: https://www.mds.nagoya-u.ac.jp/ds-program
In this exercise, enrolled working professionals and graduate students form groups and work on solving issues faced by organizations using real data provided by companies and organizations.
The theme proposed by Oricon this time is 'Analyzing Automobile Insurance from Customer Satisfaction.' Based on the past three years of survey data (2024-2026) regarding automobile insurance rankings collected by Oricon, each group will analyze key points emphasized by customers and work on building prototypes aimed at streamlining the analysis process.
The exercise is scheduled to start in April 2026, followed by an interim report meeting in May and a theme report meeting in July, with a final report to be submitted to the company in late July. The graduation ceremony will be held on September 24 (Thursday).
[Task Theme]
Analyzing Automobile Insurance from Customer Satisfaction: Challenging the Essence of Service with Statistics and NLP
[Data Provided]
Quantitative and qualitative data regarding Oricon Customer Satisfaction Survey Automobile Insurance Rankings (Three years of announced data from 2024 to 2026)
[Schedule]
April 8: Start of Real-World Data Exercise
May 26: Interim Report Meeting
Mid-July: Task Report Meeting
July 23: Final Report Submission
September 24: Graduation Ceremony
Oricon Customer Satisfaction will continue to aim at turning satisfaction with products and services into information, thereby enhancing life satisfaction within society.