Data Platform Migration

Transform your legacy data systems into modern, cloud-based platforms with minimal risk and disruption. Our proven migration methodology ensures data integrity while creating a foundation for advanced analytics, cost optimization, and business agility.

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Do you know that

83%

of data migration projects experience timeline or budget overruns without proper methodology (Heliosz, 2024)

40%

faster completion times achieved with structured three-phase migration strategies (IAEME Research, 2025)

83%

of data migration projects experience timeline or budget overruns without proper methodology (Heliosz, 2024)

What you can do

Migration Assessment & Planning

Begin Your Migration Journey with Comprehensive Planning

Our structured assessment establishes a clear migration roadmap tailored to your specific environment and business needs. We analyze your current landscape, define the target state, and create a detailed migration strategy that minimizes risk and maximizes value.

Current State Analysis - Thoroughly assess your existing data estate including databases, ETL processes, reporting, and dependencies with AI-powered diagnostics to uncover hidden system behaviors, operational bottlenecks, and undocumented dependencies for a more precise migration blueprint
Technology & Architecture Assessment - Evaluate your current platforms against modern alternatives including Microsoft Fabric, Databricks, and Snowflake
Business Impact Analysis - Identify critical systems and processes to minimize disruption during migration

Target Architecture Design - Design your future data platform architecture based on business needs and technology capabilities
Migration Strategy Development - Create a phased approach with clear milestones, success criteria, and fallback options
Risk Assessment & Mitigation Planning - Identify potential challenges and develop specific plans to address them throughout the migration

Legacy Data Warehouse Modernization

Deliver Immediate Business Value with Priority Use Cases

Migrate from traditional data warehouses to flexible, scalable cloud platforms that support advanced analytics while reducing costs. Our approach preserves existing functionality while enabling new capabilities not possible in legacy environments.

If you struggle to manage the collection of Data Warehouses, then the Modern Data Platform will become the evolution for your organization. Based on the Microsoft Azure platform including Databricks or Microsoft Fabric, we deliver one solution to integrate all your core systems.

Schema Analysis & Optimization - Use AI-driven tools to automatically analyze current database schemas, identify inefficiencies, and recommend or generate optimized schema designs
Query Pattern Assessment - Employ AI-based analytics to review and classify existing query patterns
Data Model Transformation - Convert traditional models to modern approaches like Data Vault, dimensional modeling, or lakehouse patterns

Stored Procedure Migration - Transform legacy stored procedures into modern, maintainable code formats
Incremental Loading Strategy - Design efficient incremental loading patterns to replace batch-oriented approaches
Historical Data Migration - Develop specialized routines for moving large volumes of historical data with appropriate archiving strategies

SAP Data Migration

Unlock Value from Your SAP Data with Specialized Migration Expertise

Move your critical SAP data to modern analytics platforms with our specialized SAP data integration framework. We enable real-time visibility into business processes while maintaining data consistency between operational and analytical systems.

Unlock SAP data - Enable scalable and flexible analytics outside of SAP
Advanced Analytics – Empower your organization with cutting-edge analytics capabilities, seamlessly integrating artificial intelligence, machine learning, and next-generation business intelligence tools to unlock deeper insights, automate decision-making, and drive innovation
SAP Table Structure Analysis - Map complex SAP tables and relationships to create a comprehensive data model
Extraction Strategy Development - Design optimal extraction methods based on SAP version, table types, and data volumes
Delta Capture Implementation - Establish reliable change data capture mechanisms for SAP tables

Business Logic Transformation - Convert SAP-specific business logic to platform-agnostic implementations
Master Data Harmonization - Align and harmonize master data across SAP and non-SAP sources
Reporting Transition Planning - Ensure continuous business reporting throughout the migration process
Cost Efficiency - Offload expensive computations from transactional systems

ETL Pipeline Transformation

Modernize Your Data Integration Processes with Cloud-Native Pipelines

Convert legacy ETL processes into modern, maintainable data pipelines that leverage cloud scalability and advanced features. Our approach transforms not just the technology but also improves reliability, monitoring, and governance.

Elitmind Integration Framework Implementation - Deploy our proprietary framework to accelerate pipeline development and standardize monitoring
ETL Code Analysis & Conversion - Analyze existing ETL logic and transform it to modern platforms while maintaining business rules
Metadata-Driven Architecture - Implement dynamic, metadata-driven pipelines that reduce maintenance and improve flexibility

Orchestration Modernization - Replace legacy scheduling with modern orchestration tools for better monitoring and error handling
Performance Optimization - Redesign data flows to take advantage of parallel processing and cloud scalability
Data Quality Framework Integration - Incorporate automated quality checks and validation into modernized pipelines

Database & Schema Migration

Seamlessly Transition Database Platforms While Preserving Data Integrity

Migrate databases and schemas from legacy environments to modern cloud platforms with our proven methodology. We ensure complete data integrity, performance optimization, and minimal business disruption throughout the transition.

Schema Conversion & Optimization - Transform database schemas to leverage modern platform capabilities while maintaining compatibility
Data Type Mapping & Conversion - Handle complex data type transformations and edge cases between different database systems
Constraint & Index Optimization - Redesign constraints and indexes for optimal performance in the target platform

Stored Procedure Conversion - Transform proprietary stored procedures to standard SQL or cloud-native alternatives
Data Validation Framework - Implement comprehensive testing to verify data completeness and integrity after migration
Cutover Strategy Development - Create detailed plans for the final transition to minimize downtime and business impact

Incremental Migration Strategy

Reduce Risk with Our Phased, Incremental Migration Approach

Implement a staged migration that delivers value while minimizing disruption to business operations. Our incremental approach allows you to migrate at your own pace, validating success at each step before proceeding to the next phase.

Subject Area Prioritization - Identify and sequence business domains for migration based on value, complexity, and dependencies
Parallel Run Planning - Develop strategies for operating legacy and new systems in parallel during transition periods
Business Validation Framework - Create comprehensive tests to verify functional equivalence between systems

Dual-Write Implementation - Set up mechanisms to maintain consistency across legacy and new platforms during transition
Incremental Cutover Approach - Plan phased decommissioning of legacy components as they're successfully replaced
Rollback Capability Design - Maintain ability to revert to legacy systems if unexpected issues arise during transition

What you’ll achieve

Modernized Data Foundation

Replace outdated technology with a flexible, scalable platform designed for current and future analytics needs. Our migrations create a modern foundation that supports advanced analytics, machine learning, and real-time insights.

Reduced Technical Debt

Eliminate the maintenance burden and limitations of legacy systems. Our migrations help you escape vendor lock-in, reduce dependency on scarce legacy skills, and adopt modern, standardized technologies.

Optimized Cloud Economics

Leverage cloud cost models and scalability to reduce total cost of ownership. Our implementations typically achieve 30-40% cost savings compared to on-premises alternatives while providing greater flexibility and performance.

Business Continuity

Develop the internal capabilities needed for ongoing success. Our knowledge transfer approach ensures your team gains both practical skills and deeper understanding to maintain and extend the platform independently.

Related Cababilities

Data Platform Strategy & Consulting

Data Platform Jumpstart

Data Platform Implementation

Data Integration & Quality

Data Migration

Customer Data Platform

Data Governance & Security

Connect with our Data Platform Migration Specialist

Ready to modernize your data platform with minimal risk and maximum value?
Schedule a consultation with our migration specialists to discuss your specific needs.