InsightTech Co., Ltd. press release (2024.10.31) InsightTech Co., Ltd. Insight Tech, which supports VoC management, releases the “Financial Industry “VoC Management Practice” Report” which summarizes the latest trend themes and success stories of VoC management practice in the financial industry. As the trend of systemizing the use of VoC at the management level in companies is becoming a pillar of management strategy as “VoC management,” Insight Tech, which provides comprehensive support for VoC management, is focusing on the latest trend themes. Introducing challenges and success stories. Insight Tech Co., Ltd. (Shinjuku-ku, Tokyo, Representative: Tomohiro Ito, hereinafter referred to as Insight Tech) listens to the voices of customers and consumers (broadly defined VoC: Voice of Customer/Citizen) and solves management issues based on the totality of voices. We comprehensively support “VoC management,” which improves headlines and strengthens businesses by discovering new value creation possibilities (seeds of innovation). As more and more companies are making “VoC management” a pillar of their management strategy, which involves “mechanizing” VoC utilization at the management level, VoC data in the financial industry is becoming more and more “delicate” and “complicated.” There are many companies that find it difficult to utilize this data. Under these circumstances, inquiries from financial companies regarding the following three trending themes are increasing. I want to use VoC data to prevent problems with customers I want to efficiently organize complicated customer information I want to visualize VoC data so I can see priority issues at a glance This report summarizes the characteristics of VoC in the financial industry and introduces specific success stories in three trending themes. ▼Click here to download the report (you can download it for free)
https://insight-tech.co.jp/downloads/24_kinyuvoc
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-24eadd3f2ded89c8140c06d7bf0c7f95-3900×2194.jpg table of contents 1. Insight Tech considers the importance of “VoC management” 2. Characteristics of “VoC” in the financial industry 3. “Three trending themes” in the financial industry and direction of response 4. Success story 1: Trouble prevention using “risk detection AI” 5. Success story 2: Continuous CX improvement using “VoC automatic classification AI” 6. Success story 3: Visualization using “VoC analysis AI dashboard” 7. Summary & The “next stage” of VoC management practice in the financial industry Report contents ◆We have organized the “characteristics of VoC” in the financial industry compared to other industries.
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-fc9f782a47aa40b893b8e7b546b2c35d-3900×2194.jpg
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-70193a4cc7a3f1d221812240999a1fb5-3900×2194.jpg ◆We deal with three trending themes based on the characteristics of VoC in the financial industry.
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-fecaa66935987ad615b0090e28880524-3900×2194.jpg ◆Common issues and directions for countermeasures are summarized for each of the three trend themes.
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-b66743d4b5b05765dc5e807a20a21dfd-3900×2194.jpg ◆Specific examples of successful companies for each of the three trend themes are introduced.
https://prcdn.freetls.fastly.net/release_image/83450/170/83450-170-f831e2da8d07a9c0dffb9d9e5053d270-3900×2194.jpg You can check the specific details of each theme in the report. Please feel free to download and use it. ▼Click here for a list of past trend reports (note from Insight Tech CEO Tomohiro Ito) https://note.com/tomohiroito/n/n25a34a1112ad ■Company overview Trade name: Insight Tech Co., Ltd. ( http://insight-tech.co.jp ) Established: June 19, 2012 Address: Shinjuku Island Tower, 6-5-1 Nishi-Shinjuku, Shinjuku-ku, Tokyo 163-1333 Business details: Marketing research and report creation Contract data analysis using artificial intelligence such as natural language processing and machine learning Corporate promotion and branding support Operation of dissatisfaction purchase center
