A leading healthcare payer and provider organization launched a strategic cloud modernisation initiative to transform enterprise-scale clinical, claims and analytics platforms running on legacy Teradata infrastructure.
Supporting over 25 lines of business and 5,000+ users, the environment had become increasingly costly to operate, difficult to scale and challenging to modernize in line with evolving regulatory and business requirements.
Persistent partnered with the organization to execute the transformation program, migrating 150+ TB of enterprise data from Teradata to a cloud-native Azure, Databricks and Snowflake architecture.
When Legacy Platforms Become a Business Risk
- Rising Teradata infrastructure and T-Core support costs
- Limited elasticity and resilience of on-premise platforms
- Aging Extract, Transform and Load (ETL) and orchestration frameworks driving technical debt
- Increasing regulatory and cloud adoption requirements
- Growing demand for AI-enabled analytics and real-time insights
- Operational risk across downstream Medicare, claims and actuarial systems
How Persistent Accelerated Transformation With iAURA
- Basic Teradata Query (BTEQ) code discovery and analysis
- Lineage and dependency mapping
- ETL and BI migration acceleration
- Query conversion and validation
- Data observability and migration quality controls
- Automated documentation generation
These capabilities reduced manual migration effort by up to 85% and accelerated delivery timelines by several weeks.
AI-Accelerated Modernisation at Scale
- Early migration of Teradata data assets to Snowflake and Databricks
- Parallel execution of ETL, orchestration and reporting modernisation workstreams
- Validation of reports and analytics while legacy systems remained operational
- Early onboarding of business users to monitor adoption and workload performance
- Controlled user migration and workload cutover with rollback readiness
Over 90% of users transitioned ahead of schedule while maintaining uninterrupted operations.
Business and Operational Gains
Beyond technology modernisation, the program delivered measurable business, operational and financial outcomes across the enterprise. These included:
$100M+ Annual Cost Optimisation: Strategic retirement of the legacy Teradata platform significantly reduced infrastructure, licensing and maintenance costs. The program is expected to deliver $100 million+ in annualised savings at steady state, with savings already being realized during the transition phase.
Accelerated Time-to-Insights and Faster Time-to-Market: The modern Azure, Databricks and Snowflake platform enables self-service business intelligence, faster analytics cycles and rapid deployment of new business use cases. Business teams can access trusted data faster, accelerate reporting cycles and make decisions with greater agility.
AI and Generative AI-Driven Productivity Gains: Embedded AI and Generative AI capabilities across financial, actuarial and analytics workflows improved decision-making speed, increased automation and created new opportunities for data monetisation and business value creation.
Reduced Technical Debt and Improved Data Efficiency: By eliminating legacy dependencies and multiple data hops, the organization streamlined data movement, simplified architecture and reduced operational complexity across the enterprise data ecosystem.
Enterprise-Grade Data Governance and Trust: A centralized and governed cloud data platform strengthened data quality, regulatory compliance and enterprise-wide data standards, improving confidence in reporting, analytics and business outcomes.
Enhanced User Experience at Scale: 5,000+ users transitioned to the new platform through a seamless end-to-end experience spanning onboarding, migration and insight generation, resulting in higher adoption and improved user satisfaction.
Rationalized Data and Analytics Ecosystem: Consolidation of fragmented tools and platforms reduced technology sprawl, simplified operations and enabled adoption of scalable cloud-native capabilities across the enterprise.
Quantified Transformation Outcomes
- 5,000+ business users migrated to the cloud platform
- 150+ TB of enterprise data migrated
- 25+ lines of business successfully modernized
- More than 25% productivity gains through reusable modernisation frameworks
- 1–1.5 quarters acceleration in delivery timelines
- 30% reduction in data operations costs
- 60% faster execution of the migration exercise enabled through iAURA accelerators
- Complete elimination of Teradata dependency at steady state
Financial Impact
At steady-state, the program is expected to deliver $100 million+ in annualised savings, with a portion of savings already realized during the transition phase.
Why Persistent
- Proven enterprise-scale modernisation expertise for healthcare payers and providers
- iAURA accelerators for migration, validation and observability
- AI-enabled delivery reducing risk, effort and time-to-value
- Demonstrated ability to execute large-scale transformations without business disruption
From Modernisation to Business Transformation
Today, the organization operates on a scalable cloud-native data platform that supports enterprise analytics, regulatory reporting and AI-driven innovation.
What began as a Teradata migration initiative evolved into a strategic transformation that reduced costs, improved operational efficiency, accelerated insight generation and established a future-ready foundation for enterprise growth.
