Paper Title

Revolutionizing Customer Master Data in Insurance Technology Platforms: An AI and MDM Architecture Perspective

Authors

Ramesh Inala

Keywords

customer master data
insurance technology
insurtech
artificial intelligence
machine learning
master data management
mdm architecture
data governance
data integration
data quality
customer 360 view
policyholder data
digital transformation
data analytics
automation
real-time data processing
cloud-based mdm
data stewardship
predictive modeling
personalization
regulatory compliance
data orchestration
identity resolution

Article Type

Research Article

Journal

International Journal of Finance (IJFIN)

Issue

Volume : 36 | Issue : 6 | Page No : 579-606

Published On

December, 2025

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Abstract

We present a new architecture pattern for the implementation of Master Data Management for Customer Records, as the core of insurance technology platforms. It integrates the initial creation and perpetual trusts of the Customer records, with the native capabilities of Insurance technology platforms. This architecture is contextualized into components, business processes and Digital Twins. We use case studies to illustrate the capabilities of the architecture as a solution to common problems in the industry. We also traverse into automation rules, utilizing Artificial Intelligence technology enabled by neural networks and language transformers. Our architecture aims to enable the automation a deeper customer understanding and segmentation, driven by the detection of the customer voice exposed into the communications and interactions of the customer with the insurance company.