Close Menu
    DevStackTipsDevStackTips
    • Home
    • News & Updates
      1. Tech & Work
      2. View All

      Sunshine And March Vibes (2025 Wallpapers Edition)

      May 16, 2025

      The Case For Minimal WordPress Setups: A Contrarian View On Theme Frameworks

      May 16, 2025

      How To Fix Largest Contentful Paint Issues With Subpart Analysis

      May 16, 2025

      How To Prevent WordPress SQL Injection Attacks

      May 16, 2025

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025

      Bing Search APIs to be “decommissioned completely” as Microsoft urges developers to use its Azure agentic AI alternative

      May 16, 2025

      Microsoft might kill the Surface Laptop Studio as production is quietly halted

      May 16, 2025

      Minecraft licensing robbed us of this controversial NFL schedule release video

      May 16, 2025
    • Development
      1. Algorithms & Data Structures
      2. Artificial Intelligence
      3. Back-End Development
      4. Databases
      5. Front-End Development
      6. Libraries & Frameworks
      7. Machine Learning
      8. Security
      9. Software Engineering
      10. Tools & IDEs
      11. Web Design
      12. Web Development
      13. Web Security
      14. Programming Languages
        • PHP
        • JavaScript
      Featured

      The power of generators

      May 16, 2025
      Recent

      The power of generators

      May 16, 2025

      Simplify Factory Associations with Laravel’s UseFactory Attribute

      May 16, 2025

      This Week in Laravel: React Native, PhpStorm Junie, and more

      May 16, 2025
    • Operating Systems
      1. Windows
      2. Linux
      3. macOS
      Featured

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025
      Recent

      Microsoft has closed its “Experience Center” store in Sydney, Australia — as it ramps up a continued digital growth campaign

      May 16, 2025

      Bing Search APIs to be “decommissioned completely” as Microsoft urges developers to use its Azure agentic AI alternative

      May 16, 2025

      Microsoft might kill the Surface Laptop Studio as production is quietly halted

      May 16, 2025
    • Learning Resources
      • Books
      • Cheatsheets
      • Tutorials & Guides
    Home»Development»Databases»CTF Life Leverages MongoDB Atlas to Deliver Customer-Centric Service

    CTF Life Leverages MongoDB Atlas to Deliver Customer-Centric Service

    August 20, 2024

    Hong Kong-based Chow Tai Fook Life Insurance Company Limited (CTF Life) is proud of its rich, nearly 40-year history of providing a wide range of insurance and financial planning services. The company provides life, health, accident, savings, and investment insurance to its customers, helping them and their loved ones navigate life’s journey with personalized planning solutions, lifelong protection, and diverse lifestyle experiences.

    A wholly-owned subsidiary of NWS Holdings Limited and a member of Chow Tai Fook Group, CTF Life consistently strengthens its collaboration with the diverse conglomerate of the Cheng family (Chow Tai Fook Group) and draws on the Group’s robust financial strength, strategic investments across the globe, and advanced customer-focused digital technology with the aspiration of becoming a leading insurance company in the Greater Bay Area. To achieve this goal, CTF Life modernized its on-premises infrastructure to provide the speed and flexibility required to offer customers personalized experiences.

    To turn their vision into reality, CTF Life decided to adopt MongoDB Atlas. By modernizing their systems and processes with the world’s most versatile developer data platform, CTF Life knew they’d be able to meet customer expectations, offering improved customer service, faster response times, and more convenient access to their products and services.

    Data-driven customer service

    The insurance industry is undergoing a significant shift, from traditional data management to near-real-time data-driven insights, driven by strong consumer demand and the urgent need for companies to process large amounts of data efficiently. As insurance companies strive to provide personalized and real-time products, the move towards sophisticated and real-time data-driven customer service is inevitable.

    CTF Life is on its digital transformation journey to modernize its relational database management system (RDBMS) infrastructure to empower its agents, known as Life Planners, to provide enhanced customer experiences. The company faced obstacles to legacy systems and siloed data. Life Planners were spending a lot of time looking up customer information from various systems and organizing this into useful customer insights.

    Not having a holistic view of customer data also made it challenging to recommend personalised products and services within CTF Life, the Group, and beyond. Reliance on legacy RDBMS systems presented a major challenge in CTF Life’s pursuit of leveraging real-time customer information to enhance customer experiences and operational efficiency.

    For their modernization efforts, CTF Life was looking for the follow required capabilities:

    A modernized application with agile development

    No downtime for changing schema, new modules, or feature updates

    A single way of centralizing and organizing data from a number of sources (backend, CRM, etc.) into a standardized format ready for a front-end mobile application

    A future-proof data platform with extensible capability for analytics across CTF Life, their diverse conglomerate collaboration, and their strategic partners to support the company’s digital solutions

    Embracing the operational data layer for enhanced experiences

    CTF Life knew they had to build a solution for the Life Planners to harness the wealth of useful information available to them, making it easier to engage and connect with customers. The first project identified was their clienteling system, which is designed to establish long-term relationships with customers based on data about their preferences, behaviors, and needs.

    To overcome their legacy systems and siloed data, CTF Life built their clienteling system on MongoDB Atlas. Atlas serves as the digital data store for Life Planners, creating a single view of the customer (SVOC) with a flexible document model that enables CTF Life to handle large volumes of customer data in real-time efficiently.

    By integrating their operational data into one platform with MongoDB Atlas on Microsoft Azure, CTF Life’s revamped clienteling system provides their Life Planners with a comprehensive view of customer profiles, which allows them to share targeted content with customers. Additionally, CTF Life is using Atlas Search to build relevance-based search capabilities directly into the application, making it faster and easier to search for customer data across the company’s system landscape.

    These benefits helped improve customer service with faster access to data with an SVOC so Life Planners can provide more accurate and timely information to their customers. Atlas Search is now the foundation of the clienteling system, which powers data analytics and machine learning capabilities to support various use cases.

    For example, the clienteling app’s smart reminder feature recognizes key moments in a customer’s life, like the impending arrival of a newborn child. Based on these types of insights, the app can help Life Planners make personalized recommendations to the customer about relevant services and products that may be of interest to them as new parents.

    Because of its work with MongoDB, CTF Life can now analyze customer profiles and use smart reminders to engage customers at the right time in the right context. This has made following up with customers and leads faster and easier. And contacting prospects, scheduling appointments, setting reminders, sharing relevant contents, running campaigns and promotions, recommending products and services, and tracking lead progress can all be performed in one system.

    Moreover, access to real-time data enables Life Planners to streamline their work and reduce manual processes. And data-driven insights empower Life Planners to make informed decisions quickly. They can analyze customer information, identify trends, and tailor their recommendations to meet individual needs more effectively. With MongoDB Atlas Search, Life Planners can use advanced search capabilities to identify opportunities to serve customers better.

    Continuing to create value beyond insurance

    CTF Life strives to provide its customers with value beyond insurance. Through a range of collaborations with Chow Tai Fook Group, and strategic partnerships with technology partners like MongoDB, CTF Life has created a customer-centric approach and continues to advance its digital transformation strategy to enhance a well-rounded experience for customers that goes beyond insurance with a sincere and deep understanding of their diverse needs in every chapter of their life journey.

    In the future, CTF Life will continue to build upon its strategic partnership with MongoDB and expand the use of its digital data store on MongoDB Atlas by creating new client servicing modules on the mobile app their Life Planners use. CTF Life will also be expanding its search capabilities with Atlas Vector Search to accelerate their journey to building advanced search and generative AI applications for more automated servicing.

    Partnering with MongoDB helped us prioritize technology that accelerates our digital transformation. The integration between generative AI and MongoDB as a medium for information search can be leveraged to further support front-line Life Planners as well as mid/back-office operations.

    Derek Ip, Chief Digital and Technology Officer of CTF Life

    Learn how to tap into real-time data with MongoDB Atlas.

    Source: Read More

    Facebook Twitter Reddit Email Copy Link
    Previous ArticleBuilding Custom Email Templates with HTML and CSS in Python
    Next Article Build a custom HTTP client in Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL: An alternative to Oracle’s UTL_HTTP

    Related Posts

    Security

    Nmap 7.96 Launches with Lightning-Fast DNS and 612 Scripts

    May 17, 2025
    Common Vulnerabilities and Exposures (CVEs)

    CVE-2024-47893 – VMware GPU Firmware Memory Disclosure

    May 17, 2025
    Leave A Reply Cancel Reply

    Hostinger

    Continue Reading

    The best audio gear of CES 2025: Headphones, sound systems, and turntables to watch

    News & Updates

    Will Once Human have crossplay and cross-platform progression?

    Development

    From fitness to diagnosis: How your wearable’s next trick could transform healthcare

    News & Updates

    Best Free and Open Source Alternatives to Parallels Desktop

    Linux

    Highlights

    News & Updates

    CodeSOD: The 5-Digit Session Identifier

    January 22, 2025

    Sawyer was talking with a co-worker about how their unique session IDs got created. The…

    Selling Out Fast: Microsoft Visio 2024 is 86% Off for a Limited Time

    November 28, 2024

    How to Create a Gooey Search Interaction with Framer Motion and React

    November 18, 2024

    Are web components worth it?

    July 14, 2024
    © DevStackTips 2025. All rights reserved.
    • Contact
    • Privacy Policy

    Type above and press Enter to search. Press Esc to cancel.