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Title
AIA Hong Kong and Macau builds a centralized lakehouse for personalized insurance recommendations
…their ability to extract data insights that could better serve their customers. With Databricks, AIA Hong Kong and Macau began their migration journey to the cloud, building a centralised lakehouse to support the development of machine learning models. This helped them deliver superior personalised financial experiences and greate…
Description
AIA Hong Kong and Macau migrated from a rigid on-premises Oracle data warehouse to Azure Databricks to build a centralized lakehouse, using MLflow to manage the machine learning lifecycle and support personalized recommendation models. The initiative supported more than 11 ML projects and contributed to double-digit growth in customer lead generation and 2x+ growth in customer engagement and financial advisors' lead generation.
…elped drive double-digit growth in customer lead generation. This has, in turn, supported the development of more than 11 ML projects — a feat which was made possible by faster experimentation and deployment to pr…
Company
AIA Hong Kong and Macau
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / AIA Hong Kong and Macau CUSTOMER STORY Reinventing the insurance digital experience with machine learni…
Industry
Financial Services
…u, the Head of Architecture at AIA Hong Kong and Macau. Share this post Details Industry : Financial Services Use Case : Data Engineering Cloud : Azure Product : Agent Bricks Ready to get s…
Problem
AIA Hong Kong and Macau's legacy on-premises Oracle data warehouse was structurally difficult to maintain and could not scale to process the growing volumes of structured and semi-structured customer data, leaving data siloed and blocking the holistic, 720-degree view of customers needed to deliver personalized insurance recommendations and financial advice.
…ternal data, such as user behavioural data, to better understand them. However, the ever-increasing data sat in silos within their legacy, on-premises Oracle data warehouse, which was no longer a viable solution for processing the copious amounts of semi-structured data at scale on top of the structured data that they usually collected to build a holistic v…
Solution
AIA built a centralized lakehouse on the Azure Databricks Data + AI Platform to unify data engineering, analytics and machine learning, using MLflow to manage the full machine learning lifecycle and develop personalized recommendation models that combine internal customer data with external behavioural data for a 720-degree view of customers.
…of capitalising on both internal and external data for a 720 view of customers. By synergising internal customer data with external customer behavioural analytics data, AIA has been able to create personalised recommendation models. These models have given AIA insights into its customers’ behaviours and prefere…
Business functions
Sales
…given AIA insights into its customers’ behaviours and preferences, effectively empowering the company’s financial advisors to tailor and recommend the right insurance products to the right customers. “Databricks helps us to manage the full machine learning lifecycle reliably, s…
Technology
Azure Databricks, Delta Lake, MLflow
…s to tailor and recommend the right insurance products to the right customers. “Databricks helps us to manage the full machine learning lifecycle reliably, securely and at scale via MLflow. This improves efficiency and enhances collaboration between our data teams, th…
Use case type
Personalisation
…ising internal customer data with external customer behavioural analytics data, AIA has been able to create personalised recommendation models. These models have given AIA insights into its customers’ behaviours and prefer…
Headline outcome
…STOMER STORY Reinventing the insurance digital experience with machine learning 2x+ Growth in customer engagement 2x+ Growth in financial advisors’ lead generation With over 3.3 million custome…
Business value
The lakehouse has driven more than 2x growth in customer engagement and more than 2x growth in financial advisors' lead generation, supported the development of more than 11 ML projects, and given financial advisors a 720-degree view of customers so they can recommend the right insurance products to the right customers.
…elped drive double-digit growth in customer lead generation. This has, in turn, supported the development of more than 11 ML projects — a feat which was made possible by faster experimentation and deployment to pr…
AI capabilities
Recommendation & Personalization, Predictive Analytics
…nsuring the privacy and security of customer data. The organisation was able to increase operational efficiency, enhance risk assessment and provide faster and more comprehensive management of information. Legacy on-premises data warehouse was unscalable and rigid When the pandemic b…
Deployment options
cloud
…are this post Details Industry : Financial Services Use Case : Data Engineering Cloud : Azure Product : Agent Bricks Ready to get started? Try Databricks for free Learn more…
