migVisor Suite
Solution Overview
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Customer Problem
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High Total Cost of Ownership (TCO) for data platforms
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Outdated or sunset technologies creating direct compliance, infosec, security, and business continuity risks
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Inability to capitalize on AI and cloud innovation, acting as a direct roadblock to growth and market parity
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Manual-heavy modernization execution that limits scalability and quickly inflates project costs
EPAM Solution
migVisor Suite powers end-to-end Data & AI Modernization across three phases:
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Phase 1: Assessment & Design. migVisor Analytics ascans the full legacy estate — DWH, ETL, BI, and data models — providing automated dependency mapping, complexity scoring, and AI-driven insights. Modernization planning and design draw on EPAM's proven delivery experience to produce a pragmatic, execution-ready roadmap.
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Phase 2: AI-Driven Implementation. The migVisor agentic suite powers the transformation. Explainer interprets legacy logic into human-readable BRDs. Co-Pilot designs the optimized target state using curated patterns and SME best practices. SmartBuilder generates validated, production-grade code, fully traceable to its legacy source. Code Converter and BI Converter accelerate platform-specific migration (for example, Tableau to Power BI). Human oversight at each handoff keeps quality intact — achieving 80–90% faster delivery.
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Phase 3: Data Quality Testing. migVisor Reconciler performs row-level and aggregate reconciliation before cutover, comparing source and target across record counts, key-level values, and aggregate metrics, with full drill-down to offending rows. Automated reports give stakeholders objective, evidence-based sign-off — de-risking go-live.
AI Driven Modernization
The migVisor 2.0 agentic suite transforms legacy platforms through its core AI tools:
migVisor Analytics — assessment engine: scans the estate, scores complexity, and maps dependencies to ground every decision in an accurate current-state picture.
migVisor Explainer — documentation engine: interprets code via LLM agents into a queryable knowledge base of business logic, data flows, and dependencies, eliminating weeks of manual analysis.
migVisor Co-Pilot — AI architect: applies a curated library of architectural patterns to design, optimize, and rationalize the target state, with SMEs injecting vision and best practices.
migVisor SmartBuilder — automated code factory: generates fully validated, production-grade code from approved specs, with a continuous loop linking every line to a spec and legacy source.
migVisor Code Converter and BI Converter — platform-specific translation: Code Converter rewrites legacy ETL and SQL into target-native code; BI Converter migrates dashboards, reports, and semantic models with structure and logic preserved.
Key Differentiators
Automated Migration
Agentic pipeline analyzes legacy logic and generates production code, delivering 80–90% faster migration
Built-In Traceability
Every generated line traces back to a spec and its legacy source, ensuring audit-ready, correct output
Full-Stack Suite
One toolset spans assessment, design, code generation, BI conversion, and data quality — no gaps
Benefits
80–90% faster modernization timelines
Agentic AI dramatically accelerates assessment, design, and implementation
30–60% average TCO improvement
Delivered across licenses, infrastructure, support, and fully optimized scope
Day 1 AI-ready foundation
The target state is governed, analytics-enabled, and agent-ready at cutover
Features
- Inventory assessment: migVisor Analytics automates data estate scanning with AI-driven insights, object complexity and migration effort analysis, dependency identification, and full migration strategy creation complete with a calculated delivery timeline for each phase.
- AI-driven modernization design: migVisor Co-Pilot uses curated architectural patterns and SME best practices to design the optimized target state, rationalize the data landscape, and produce BI harmonization and detailed data product plans.
- Production-grade code generation: migVisor SmartBuilder generates validated code from approved specs with a continuous validation loop, ensuring every output traces back to a legacy source and meets all platform quality standards before deployment.
- Data quality & reconciliation: migVisor Reconciler performs row-level, column-level, and aggregate reconciliation across multiple databases and cloud targets, guaranteeing production readiness before cutover and providing comprehensive discrepancy reporting.
Questions & Answers
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