Data Migration Done Right
Transform complex ERP migrations into predictable, audit-ready cutovers with our proven methodology and automated validation framework. Rapidly recover programmes impacted by data migration issues.
The elfware Difference
Traditional Migration
Manual mapping prone to errors
Limited validation coverage
Cutover surprises and rollbacks
Months of stabilisation post-go-live
elfware Migration
Automated mapping with validation
100% reconciliation coverage
Rehearsed, predictable cutovers
Immediate stability and audit trails
elf Velocity™ Method
Data Migration, Redefined.
Validate. Automate. Reconcile. Cut Over.
Align
Scope, readiness, and data ownership agreed
Prototype
3-day live design using real customer data
Capture
Profile sources, baseline quality, lock formats
Transform
Auto-generated code & validation assertions
Reconcile
Financial and operational parity proven
Rehearse
Multiple dry-runs to perfect cutover
Cut Over + Stabilise
Smooth go-live, steady operations
Core Principles
Evidence First
Prove design with real data early
Model-Driven
Code printed directly from one live schema
Quality Gated
Every phase measurable, auditable
Repeatable
Run again and again with confidence
Low Risk
Dress rehearsals before go-live ensure predictability
"From chaos to control — every load, every time."
Purpose-Built Tooling
Mapping → Code
Transform business rules into validated transformation code with automated testing
Orchestration
Coordinate complex migration workflows with dependency management and rollback capabilities
Validation
Real-time quality checks with 100M+ validations per cycle and instant exception reporting
Proven Results
"When we ran into serious data stream challenges mid-programme, elfware enabled us to recover and still deliver on schedule. Their rapid intervention, proven methodology, and automated tooling transformed what could have been a programme-ending crisis into a manageable recovery path."
"elfware turned a high-risk upgrade into a predictable, well-governed migration. Their reconciliation framework gave us complete confidence throughout the cutover."
"elfware ensured data was available as a consistent, cohesive, and high-fidelity dataset across multiple cycles for different states required in different environments for parallel project activities — regardless of the actual quality of source data. This insulated and underpinned programme progress whilst data quality issues were being resolved."
Frequently Asked Questions
How long does a typical migration take?▼
What does 100% reconciliation coverage mean?▼
Do you work with our existing team or replace them?▼
What happens if issues are found during migration?▼
How do you handle custom modifications and integrations?▼
Related Articles
From stalled to sprinting: D365 BC data stream rescued
After an incomplete SIT due to stalled D365 migration and months of project delay, elfware mapped and printed the data migration tool chain within two weeks, enabling UAT to begin. Automated transformations, validation filtering, and reconciliation restored stability across more than 100 integrity checks — enabling three successful dress rehearsals, full recovery, and saving the project 6 months +
3-day first prototype; seamless Oracle Retail v11→v16 upgrade
A US-based duty-free retailer with 280+ stores upgraded five versions of Oracle Retail MOM, ReSA and SIM. elfware delivered the first fixed-price data prototype in 3 days, followed by 5 more iterative prototypes, two smooth dress rehearsals and a seamless go-live.
12-month parallel run, 8 flawless cutovers — zero rollbacks
To de-risk an Oracle Retail rollout, a £4 billion UK e-commerce retailer printed temporary integrations using elfware's Enterprise Low Code and Data Patterns. The approach sustained dual-platform alignment for a full year across eight phased cutovers — achieving zero data reconciliation issues.
Ready to de-risk your migration?
Book a 15-min Triage Call