Modernize SAS to Cloud Native Solutions

Estimated cost: USD 50,000 with a typical duration of 6 weeks for assessment and pilot for 50 SAS scripts

Hexaware’s SAS to PySpark modernization offering enables enterprises to transform legacy SAS analytics workloads into scalable, cloud-native PySpark pipelines. By migrating to PySpark, clients benefit from up to 40-60% TCO reductions by eliminating expensive SAS licensing and leveraging cost-effective cloud infrastructure. This modernization accelerates data processing by 3-5x, improves scalability to handle growing data volumes, and integrates seamlessly with advanced AI and analytics ecosystems.

Hexaware’s US patented AI-driven Amaze® accelerator automates up to 70% of the SAS-to-PySpark conversion including complex macros and conditional logic, reducing manual effort and errors. The platform also performs AI-based validation using hash-based row-level data comparison to ensure output parity and detect anomalies early. Integrated with DevOps workflows and CI/CD pipelines, Amaze® accelerates deployment and enables continuous quality assurance.

This offering starts with an automated assessment that analyzes SAS scripts, macros, and dependencies to deliver detailed complexity and fit-gap insights. This enables precise prioritization and a low-risk migration strategy. A pilot migration of 50 SAS scripts validates automated conversion accuracy, functional parity, and performance improvements, showcasing the strength of our AI-enabled code conversion.

Key Features:

• Automated SAS workload inventory, dependency analysis, and complexity scoring
• AI-powered automated conversion of SAS programs, macros, and workflows to PySpark code
• Pilot migration of 50 scripts validating conversion accuracy, data integrity, and performance
• AI-driven data validation ensuring functional and numerical equivalence with existing SAS workflows
• Cloud-native PySpark architecture deployment supporting scalability, elasticity, and AI workloads
• Integration with DevOps pipelines for automated testing, deployment, and monitoring
• Robust security, compliance, and governance throughout the modernization lifecycle

Business Benefits:

• Reduce TCO by up to 40-60% through SAS license elimination and cloud efficiency
• Achieve 3-5x faster data processing with distributed PySpark workloads
• Enhance scalability and flexibility to meet growing data and AI demands
• Accelerate time-to-insight with faster development and deployment cycles
• Improve data quality and analytics reliability with automated validation and governance

Outcomes:

Clients gain confidence and value from a validated pilot migration of 50 SAS scripts, forming the foundation of an enterprise-wide PySpark modernization roadmap. Hexaware’s AI-powered, automation-led approach minimizes risk and manual effort, enabling faster, cost-effective adoption of cloud-native analytics platforms. This transformation delivers measurable cost savings, enhanced agility, and a future-proof foundation for data-driven innovation.