Analyst Report

Celent | Data-First Transformation for Value Realization in Insurance

A data first transformation approach creates a foundation for current and future systems

With the advent of cloud computing and advances in cloud-based and data management technologies, taking a data-first approach liberates insurance companies from being boxed into a locked (traditional) transformation model. Using emerging cloud-based technologies, with proper planning and execution, carriers can successfully transform their legacy and older systems and realize greater value. Additionally, with an innovative data-first approach (aka data-driven transformation), they can decouple data, create data and application independence, discern much higher value, and move toward future-proofing.

This study includes a full Resolution life case study, focusing on their transformational work with AWS.

Read this report to:

  • Learn how Resolution Life partnered with AWS and low code no code (LCNC) provider Out Systems to accomplish transition of closed block policies from Voya. 
    • Resolution Life executed using an agile method with the help of tools from AWS and created a new customer portal (self-service) in five months, developed a new customer service representative (CSR) portal in seven months and had over 1 million policies ingested into the data hub.       
  • Understand how a data first transformation approach creates a foundation for current and future systems to provide better business support, and helps insurers embed products; improve policyholder service and business retention; automate and improve underwriting process; and detect fraud and reduce claims leakage.

Optimizing Fast Access to Big Data Using Amazon EMR at Thomson Reuters

Thomson Reuters modernized its infrastructure in the cloud, which streamlined workflows, sped time to market for new features, and simplified access to big data assets for internal teams.

State Farm automates risk management for all use cases leveraging a serverless-first approach

State Farm sought to streamline the process to minimize the approval timeline while also reducing the number of issues and maintaining compliance with AWS Lambda, AWS Fargate, AWS Artifact, AWS Audit Manager, AWS CloudTrail, Amazon Virtual Private Cloud, and Amazon Elastic Compute Cloud.

State Auto Improves Processes across the Life Cycle Using AWS Machine Learning, Computer Vision, and Serverless Architecture

(State Auto) wanted to better understand and anticipate the requirements of its customers to provide them with the information they needed before they even knew to ask for it.

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Celent, Data-First Transformation for Value Realization in Insurance, Nanda Rajgopal, April 20, 2023. Celent is a registered trademark of Oliver Wyman, Inc., which is a wholly owned subsidiary of Marsh & McLennan Companies [NYSE: MMC] and is used herein with permission. All rights reserved.