Modernizing Disability Claims Management: Leveraging AWS Cloud for Scalability and Efficiency

Modernizing Disability Claims Management:

Leveraging AWS Cloud for Scalability and Efficiency

Modernizing Disability Claims Management:

Leveraging AWS Cloud for Scalability and Efficiency

The Customer

An insurance company with a diverse portfolio spanning life insurance, retirement services, investment management, mutual funds, annuities, property and casualty insurance, and accident and health insurance sought to streamline claims, reduce administrative burdens, and enhance the experience for customers and employees a like.

The Challenge

The Disability Claim Management System, a corner-stone of the client’s group insurance operations, faced mounting challenges. Designed to streamline claims for long-term disability, short-term disability, and absence management, the system struggled with scalability to handle growing claim volumes and lacked the flexibility to integrate with advanced services. These limitations not only increased administrative overhead but also diminished the experience for employees and employers.

To address these challenges, the client set out to modernize its IT infrastructure by:

Strengthening security measures to safeguard sensitive data.

The Solution

EXL partnered with the client to craft a comprehensive migration strategy, harnessing AWS cloud services to modernize its Insurance Data Journey Initiative.

EXL began with an AWS Migration Readiness Assessment (MRA) to evaluate the client’s legacy applications, including Annuities, Group Insurance, Retirements, Disability, Life ILI, ODS, SAAS Support, and Reinsurance, for migration to the USBIE (AWS Cloud) platform. The Schema Conversion Tool (SCT) and Data Migration Services (DMS) were used to assess and migrate legacy data while identifying optimal AWS storage and database solutions.

The modernized solution tapped into a suite of AWS services to streamline operations and boost performance, including:

AWS Kinesis Streaming Platform: Enabled full load and change data capture (CDC) from the legacy database using Qlik.
Kinesis Firehose and Amazon S3: Stored change data and historical snapshots in the S3 history zone bucket.
AWS Glue: Transformed historical data into parquet format and stored it in the application S3 bucket (snapshot zone).
AWS Athena: Provided seamless access to data in both history and application buckets for analytics.
Data Flow Optimization: Moved data from the snapshot zone to standard S3 for downstream consumption and AWS Postgres for reporting in JSON denormalized form.

Other core AWS services, including Redshift, CloudFormation, EC2, Lambda, DynamoDB, Postgres DB, Glue Jobs, CloudWatch, Elastic Container Services, and EventBridge, powered end-to-end full load and CDC processes.

All applications went live by the end of 2023, with ongoing enhancements in progress.

The Solution Architecture

The Business Result

The modernized system delivered impactful outcomes:

30% Increase in Staff Productivity:
Achieved through automation and advanced cloud tools.
35% Faster Time-to-Market:
Enabled by rapid deployment of new services, enhancing business agility.
Reduced Downtime and Maintenance Costs:
Ensured continuous operations with a reliable cloud-based system.
Enhanced Operational Resilience:
Leveraged AWS’s robust infrastructure and disaster recovery solutions.
Long-Term Savings:
Scalability allows for handling increased workloads without proportional cost increases