Expertise
Data Migration
Move critical data between systems with validation and reconciliation built into the process — not bolted on at the end.
Business problem
A migration is often treated as a database import. Then go-live surfaces missing records, broken relationships, duplicated patients or customers, and history no one can find — and the business loses trust in the new system on day one.
Transformation opportunity
Treat migration as data engineering: assess the source, define what "valid" means, map and transform, validate against rules, reconcile counts and balances, and verify after cutover. Surface exceptions rather than hide them.
Ayeim solution
Delivered through the SHARP framework: understand, harness what works, accelerate with AI and modern engineering, reengineer only where needed.
Business outcome
A defined, validated and reconciled migration, with documented exceptions — and a business that trusts the new system.
What we deliver
Capabilities
Source assessment and profiling
Data mapping and transformation design
Validation rules and automated checks
Reconciliation of counts, balances and relationships
Exception handling and documented decisions
Cutover planning with fallback
Post-migration verification
Architecture
Designed as one system
Typical technology
- ETL / ELT tooling
- SQL
- Python
- Data quality frameworks
- FHIR / HL7 / X12 where relevant
- Reconciliation reporting
Technology supports the outcome. We choose it to fit your estate, not the other way round.
Proof
Case studies: data migration in practice
Ending the 6-Hour-a-Week Data Shuffle
A four-location aesthetics and med-spa group was running charting, billing, accounting, injectable inventory and SMS reminders on separate tools. We removed the underlying problem — no single source of truth — and cut 6–8 hours of manual data movement a week.
- Healthcare Technology
- Data & Integration
- OpenEMR Services
Incremental Core Platform Modernization
Incrementally re-platforming a core system behind an API layer, one capability at a time, with no service interruption.
- Cloud & Modernization
- Product Engineering
- Data & Integration
AI-Ready Data Foundation for Retail
A governed data platform consolidating storefront, ERP and warehouse data for analytics and AI.
- Data & Integration
- AI & Automation
- System Integration
Frequently asked questions
Both. We can run an end-to-end engagement from assessment through delivery and support, or take a defined scope inside your existing team and roadmap.
With the Sense stage of SHARP — a short assessment to understand the business, systems, data and the highest-value opportunity — before we propose a delivery plan.
Yes. Integration is core to how Ayeim works — REST and GraphQL APIs, events, and standards such as FHIR and HL7 where relevant.
We can continue as a long-term partner, hand over to your team with documentation and enablement, or a combination of the two.
Next step
Talk to Ayeim about data migration
Tell us the problem and the systems involved. We can usually tell you on the first call whether we are a good fit.