IBM i Application & Data Assessment for Microsoft Azure Modernization
Fresche Solutions
AI assisted application and data analysis platform to assess IBM i apps and data for Azure modernization readiness, options, and recommendations.
AI assisted application and data analysis platform to assess IBM i apps and data for Azure modernization readiness, options, and recommendations.
This professional services assessment uses Fresche X-Analysis AI, an application and data analysis platform, to evaluate IBM i environments and support informed modernization decisions for Microsoft Azure. X-Analysis AI provides deep visibility into RPG and Synon applications, data structures, and dependencies, creating a comprehensive baseline for Azure modernization planning. The assessment helps IBM i organizations understand modernization scope, complexity, and risk before committing to implementation.
Using X-Analysis AI, Fresche helps customers: • Understand application structure, interdependencies, and business logic • Assess data models and DDS based schemas for SQL modernization • Identify workloads suitable for Azure App Service, Azure Kubernetes Service, or Azure Virtual Machines • Determine data readiness for Azure SQL, SQL Server, or PostgreSQL on Azure • Evaluate analytics enablement paths using Microsoft Fabric, Synapse, and Power BI
This service results in clear, actionable insights and a recommended modernization roadmap aligned to Microsoft Azure architectures.
What the Service Delivers: A comprehensive IBM i application and data assessment that provides visibility, readiness analysis, and Azure aligned recommendations for modernization.
Scope of Work • Application structure and dependency analysis for RPG and Synon environments • Data assessment of DDS based schemas and modernization readiness • Identification of modernization and deployment options aligned to Azure • Evaluation of analytics enablement opportunities using Microsoft services • Risk, complexity, and effort indicators to support planning decisions
How the Engagement Works: The assessment is delivered remotely and follows a structured approach:
- Environment onboarding and data collection
- AI assisted application and data analysis using X-Analysis AI
- Review of findings and Azure modernization opportunities
- Delivery of assessment results and recommended next steps
No implementation or code changes are performed during this engagement.
Business Value Outcomes: • Clear understanding of IBM i modernization scope and complexity • Reduced risk by identifying dependencies and modernization blockers early • Improved decision making for Azure adoption planning • Actionable roadmap to support implementation, migration, or transformation projects