Data Migration Services
Laboratory data is your organization's core asset. Our engineered Migration Factory breathes new life into 20 years of historical data in your new system — not a single byte lost, not a single compliance gap missed. ETL · Cleansing · Dual-Run Comparison · Zero Loss.
Six Core Capabilities
Across the full data migration services journey, building a quantifiable, reusable, and evolvable engineering delivery system.
Migration Assessment
Source system profiling, data asset inventory, migration feasibility matrix. Identify 50+ typical migration risks and produce a comprehensive assessment report with risk mitigation plan.
Migration Factory
CL-Migrator toolchain supports 80+ data sources including Oracle / SQL Server / MySQL / files / APIs / Excel — parallel extraction, incremental sync, checkpoint resume.
Data Cleansing
AI-assisted detection of dirty data, duplicates, and unit inconsistencies. Visual rule configuration with full traceability. Standardization, deduplication, unit conversion, and relationship completion — all in one step.
Dual-Run Comparison
During parallel operation of legacy and new systems, automatically compare every record with instant alerts on discrepancies. Field-level consistency checks in sandbox — zero error before final cutover.
Rollback Mechanism
Every migration includes snapshots and rollback plans — one-click rollback to the original system within 30 minutes if issues arise. Cutover window orchestration + emergency rollback, double protection.
Migration Audit Trail
21 CFR Part 11-compliant migration audit logs: source record, target record, transformation rules, operator — full-chain traceability. Every migration withstands compliance review.
Functional Module Checklist
Every module is distilled from 400+ real projects — ready to use, no need to build from scratch.
Source Profiling
Source system structure, data volume, and quality profiling. Auto-scans source database table structures, field types, data distribution, and null rates to produce a complete migration assessment baseline.
Mapping Studio
Visual field mapping + transformation rule configuration. Drag-and-drop field matching interface supporting complex transformation logic (dictionary mapping, formula calculations, conditional branching) — zero-code mapping.
Cleansing Rules
Standardization, deduplication, unit conversion, relationship completion. 200+ built-in cleansing rules, supports regex and custom script extensions. Cleansing process fully audited.
ETL Engine
Parallel extraction, incremental sync, checkpoint resume. Distributed architecture supporting efficient TB-scale data migration. Auto-sharding, parallel processing, and resume-from-checkpoint after network interruptions.
Validation Sandbox
Field-level consistency comparison in an isolated sandbox. After a 1% sampling trial migration, field-by-field comparison with discrepancies auto-flagged, categorized, and summarized in a report.
Dual-Run
Legacy + new system parallel operation with real-time diff monitoring. During dual-write, every business record is compared in real time with second-level alerts — absolute consistency between both systems.
Cutover
Cutover window orchestration + emergency rollback. Predefined cutover window, rollback trigger conditions, and execution scripts — the formal cutover process is predictable, controllable, and reversible.
Standard Delivery Roadmap
7 standard phases, so clients know exactly what happens every week from week one.
Source System Inventory & Quality Assessment
Comprehensively audit source system data structures, volume, and quality status. Identify migration risk points and produce an assessment report with migration feasibility matrix.
Field Mapping + Cleansing Rules
Design the target data model, complete field-level mapping and cleansing rule configuration, and formulate a phased migration plan with acceptance criteria.
1% Sampling + Sandbox Validation
Extract 1% representative data for trial migration. Validate field by field in an isolated sandbox, then fix mapping deviations and cleansing logic defects.
ETL Engine Parallel Loading
Distributed ETL engine performs full data extraction. Auto-sharding with parallel processing, checkpoint resume, and real-time progress monitoring.
Legacy + New System Parallel Operation (30 Days)
Both systems run in parallel. Every business record is compared in real time with second-level alerts and auto-generated comparison reports — ensuring zero error.
Cutover Window + Rollback Ready
Execute the formal cutover within the scheduled window. Emergency rollback scripts are ready. After business verification passes, sign the cutover confirmation.
Reconciliation Report Sign-Off
Deliver the final reconciliation report covering record counts, field consistency, and anomaly handling details. After client acceptance and sign-off, formally archive and close.
Every Data Migration, Delivered with Zero Risk
Book a 30-minute solution diagnostic. A CNWAYLab senior consultant will deliver a tailored migration proposal.