Modernizing Global Logistics Provider’s Data Infrastructure: PDI Automates SAS to Informatica IDMC Migration Using AI-Powered Framework
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45%
Reduction in Manual Code Conversion Effort |
100%
SAS Scripts Successfully Migrated to IDMC
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2x
Faster Testing with PDI’s Automated Validation Framework
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45%
Less Manual Effort
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About the Customer
Our Customer is a leading transportation and logistics provider serving North America with data-driven operations and digital transformation initiatives. As part of their modernization roadmap, they aimed to replace its legacy SAS environment with a scalable, cloud-native platform.
Customer Challenges
Our Customer relied on a SAS-based system for core data processing, analytics, and reporting workflows. While effective historically, this legacy stack presented several limitations:
- Scalability constraints in a rapidly growing data environment
- Lack of integration flexibility with modern cloud-native platforms
- High operational overhead for managing shell scripts and job orchestration
- Manual testing bottlenecks, with significant effort required to validate migrated code
- Disruption risks associated with production cutover from business-critical workloads
With approx. 200 scripts spanning SAS and shell environments, they required a reliable, risk-mitigated migration approach that ensured functional parity and operational continuity in Informatica’s Intelligent Data Management Cloud (IDMC).
PDI Solution
PDI automated the SAS ETL to IDMC transition by using
PDI Cloud Migration Converter to auto-generate IDMC mappings, accelerating the migration process. The
PDI Data Validation Framework ensured 1:1 parity between source and target, delivering audit-grade QA and minimizing risk. This automation-driven approach enabled a faster, accurate, and scalable modernization of legacy SAS workloads. The strategy included assessment, conversion, testing, and go-live—all within a secure and collaborative execution model.
Key Migration Components:
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Automated Conversion of Approx. 200 scripts to Informatica IDMC using PDI’s proprietary LLM-powered Converter.
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Data Validation Framework (DVF) for high-precision testing between SAS and IDMC outputs.
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Sprint-based Migration Delivery, with parallel environments for UAT and production staging.
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Full Testing Lifecycle including unit, integration, performance, and orchestration testing.
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Hyper Care Support post go-live, with operational runbooks and knowledge transfer.
Scope of Services
PDI provided an end-to-end suite of services to ensure minimal disruption and maximum quality:
1. Script Migration & Assessment
- Deep-dive analysis of approx. 200 legacy scripts
- Conversion roadmap aligned with business priorities
2. Environment Setup & Infrastructure Readiness
- Azure deployment of PDI’s Gen AI converter
- IDMC configuration, test environment provisioning, and DVF enablement
3. Automated Code Conversion
- SAS ➜ PowerCenter ➜ IDMC, using PC2IICS Bridge
- Converter retraining for script nuances
4. Testing & Optimization
- Side-by-side output comparison with SAS baselines
- Performance tuning to meet SLA benchmarks
5. Production Cutover & Hyper Care
- Final migration with orchestration and stubs replaced
- Transition support and operational documentation
PDI Delivers Tangible Results for Global Logistics Provider
Accelerated Modernization: Pacific Data Integrators (PDI) completed the full migration and end-to-end validation in record time by leveraging cutting-edge automated tools, eliminating weeks of manual effort. This approach drastically reduced human errors and seamlessly accelerated the transition, ensuring a fast, reliable, and cost-effective modernization.
Enhanced Performance Analytics: PDI implemented advanced monitoring dashboards that provide real-time insights into system performance and data processing metrics. These analytics empower them with actionable intelligence to optimize operations and make data-driven decisions.
Data Accuracy Assured: Using DVF (Data Validation Framework), PDI conducted unit testing (checking individual components) and integration testing (validating system-wide behavior). Rigorous validation protocols were applied at every stage to maintain data integrity. This ensured 1:1 parity between the new system's outputs and legacy SAS outputs.
Secure & Compliant Execution: All conversion tools were deployed within their Azure environment, adhering to strict access controls (e.g., role-based permissions) and security best practices. This ensured compliance with data governance policies (e.g., encryption, audit trails) and minimized risk during migration.
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Seamless Knowledge Transfer: PDI empowered Global Logistics Provider's team post-deployment with dedicated SMEs, detailed operations runbooks, and structured training sessions. Regular knowledge checks and Q&A sessions reinforced retention. This comprehensive transfer enabled full operational independence and long-term system sustainability.Future-Ready Scalability: The modernized architecture was designed with flexibility in mind, allowing them to easily adapt to growing data volumes and evolving business needs. This forward-thinking approach ensures the solution remains robust and scalable for years to come.
Quantifiable Results
Reduced Manual Work: 45% decrease in manual conversion and testing effort.
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Faster Testing Cycles: 2x acceleration in validation and performance testing.
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Improved Platform Resilience: Reduced technical debt and enhanced scalability via IDMC
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Zero Disruption: Critical workflows transitioned with minimal business impact.
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About Pacific Data Integrators:
Pacific Data Integrators (PDI) is a certified Informatica partner specializing in data modernization and cloud analytics transformation. With proprietary automation frameworks and a track record of success across regulated industries, PDI empowers enterprises to migrate, modernize, and scale efficiently.
Ready to Migrate from SAS to IDMC?
Contact us to learn how PDI can accelerate your cloud modernization with risk-free automation and intelligent validation.
Posted by PDI Marketing Team
Pacific Data Integrators Offers Unique Data Solutions Leveraging AI/ML, Large Language Models (Open AI: GPT-4, Meta: Llama2, Databricks: Dolly), Cloud, Data Management and Analytics Technologies, Helping Leading Organizations Solve Their Critical Business Challenges, Drive Data Driven Insights, Improve Decision-Making, and Achieve Business Objectives.
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