Insurance
Frontline Topics
- Revolutionizing value chains
- Support customer-centricity to become an integral part of the customer's lifestyle platform (developing an ecosystem through collaboration with other industries)
- Evolving risk optimization/customization
- New risk definitions and sophisticated risk analysis technology to optimize risk and return to the limit, and realization of one-of-a-kind products, services, and channels that are best suited for customers.
Issues
- Innovation of traditional insurance sales
- Optimize marketing and sales infrastructure by capturing changes in customer's preference and behavior (optimization of contact points between insurance companies, solicitors (agents), and customers).
- Stabilizing expense profits
- Introduce highly competitive insurance products and services that capture the current trends of the times and secure a stable source of triple profits (normalization, simplification and automation of processes/operations across the company).
- Creating ecosystems
- Achieve a broad-based collaborative structure, including other industries, to optimize the customer's lifestyle platform.
- Agile business operations
- Achieve agile business managements in these times of increasing volatility and uncertainty (e.g., through renewal and improvement of traditional organizational structures and processes, as well as core systems).
- Analyzing and utilizing insurance-related & external data
- Realize the refinement of existing businesses, the development of new businesses that contribute to improving quality of life (QOL), and the expansion and diversification of earnings by analyzing and utilizing data that is combined with owned data (physical status, vehicle information, payment information, etc.) and external data (medical care, nursing care, government, etc.).
- Developing human resources for insurtech/innovation
- Secure InsurTech/Innovation human capital and evolve beyond the framework of an insurance company.
Cases
- Strategy - Marketing -
- Developing and executing marketing strategies
After analyzing huge amounts of existing contract data and identifying medium- to long-term target customer images, we built an AI predictive model and implemented marketing strategies for each customer segment.
- Strategy - CX -
- Developing and executing strategies for customer experience improvement
In order to become a top global CX company, we defined the maturity level of CX promotion, grasped the status quo, and developed and implemented priority promotion areas and a company-wide implementation roadmap.
- Strategy - Ecosystem -
- Designing helthcare ecosystem businesses
We defined the concept of multiple ecosystems to be established in the future, and designed an ecosystem project for the elderly and an initial service proposal as PoC.
- Strategy - New Business -
- Starting up a business matchmaking service
We examined the room and significance of entering the business matchmaking area, developed a business plan to start up the business matchmaking service, and conducted PoC.
- Digital - Skill Development -
- Leading data-leveraged human resource training programs
We trained data-leveraged human resource who have acquired data science and problem solving skills, and designed and developed a program to acquire consultant's problem solving skills in addition to statistics and machine learning.
- Sustainability - New Business -
- Developing a strategy for entering IoT business with energy harvesting technologies
We developed a plan to enter the IoT business with energy harvesting technologies, and conducted customer and market research, feasibility assessments, and created an alliance policy with companies that own the seeds of the business.
