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Driving business growth by modernizing predictive data analytics platform

Business Challenge

Globe Life performs data analysis and applies predictive analytics to identify and target potential markets. Its existing on-premise data extraction, data quality and data analysis platforms were not scalable, posed stability issues and were costly to support and maintain.


Unisys deployed a hybrid cloud solution to modernize Globe Life's extract, transform and load (ETL) platform within an Amazon Web Services (AWS) cloud environment, including:

  • Building a platform to run in an AWS cloud environment that enables ETL functions, data quality, cleansing and analysis capabilities and offers high availability and fault tolerance using native AWS services
  • Migrating storage data to a fully managed AWS Oracle RDS (Relational Database Service)
  • Migrating from Windows to a Linux distribution on Amazon Linux AMI

Results and Benefits

  • Lower total cost of ownership (TCO) through reduced capital expenditure and greater agility though cloud deployment
  • Reduced recovery time objective (RTO) and recovery point objective (RPO)
  • Increased productivity working more efficiently at the system level, including database cloning, data masking, data restore and rollback, profiling of sensitive data, data lineage and production and non-production database backups

Globe Life provides insurance coverage to more than 4.4 million policyholders. With over  $91 billion of insurance in force, Globe Life is committed to providing secure life insurance protection to its policyholders today and in the future.


United States

Industry | Offerings

Life and health insurance coverage

Unisys solutions and services

Cloud migration and data conversion