AI-driven mapping automation
Automate integration design and reduce manual mapping effort by up to 70–90%.
Field-by-field data mapping is one of the slowest, most manual parts of any integration or migration programme. It is repetitive, error-prone and often sits on the critical path.
Alongside our advisory and delivery work, DataMapWave is developing AI-driven mapping capability that automates integration design, aiming to reduce manual mapping effort by up to 70–90% and shorten programme timelines.
Sound familiar?
- Weeks of analyst time spent building mapping spreadsheets
- Mapping errors that only surface during testing
- Mapping knowledge lost when people move on
- Integration and migration timelines driven by mapping effort
How we help
Automated mapping suggestions
AI-proposed mappings between source and target data structures.
Human review
Experts confirm and refine mappings, so quality stays high.
Reusable mapping knowledge
Mappings captured and reused across projects.
Programme acceleration
Faster integration design for ERP, D365 and data platform programmes.
What you get
Every engagement is measured against clear business outcomes, not just technical deliverables.
- Up to 70–90% less manual mapping effort
- Shorter integration and migration timelines
- Fewer mapping errors reaching testing
- Mapping knowledge that stays with the organisation
Often combined with
API Architecture & Integration Design
Scalable, governed API-first models that replace fragile point-to-point integrations.
Learn moreMicrosoft D365 Integration
Connect and harmonise Dynamics 365 with your wider application and data landscape.
Learn moreERP Rationalisation
Target architecture design to consolidate fragmented ERP estates and reduce operational drag.
Learn moreLet's talk about your landscape
Whether you need integration strategy, ERP rationalisation or programme leadership, get in touch to discuss how DataMapWave can help.