Data Migration Challenges
Data migrations rarely follow a static path: schemas evolve, new requirements surface, and chaos can often ensue. This is an area where AI can be really powerful and enable new forms of automation. Doyen generates deterministic code from LLMs to tackle the hardest migrations. With this new release, we are pushing the technology further by adapting schemas in real time and auto‑correcting mapping if issues appear during schema adjustments. The result is the ability for Doyen AI to seamlessly integrate schema changes across complex data mappings.
Why Schema Adjustments Happen
New requirements often surface during a data migration. Adjusting the schema during migrations is needed for many reasons:
- Clarifying ambiguous fields: For example, distinguishing between multiple customer IDs across systems.
- Triggering workflows: Adding fields required to activate automations in the target ERP or billing system.
- Merging additional information: Incorporating extra customer details, product metadata, or chart of accounts segments to support reporting and compliance.
- Aligning with target system structure: Splitting or combining fields to match the new data model.
- Supporting downstream integrations: Adding fields needed by BI tools, CRMs, or tax software.
Schema Changes Can Introduce Big Challenges
Handling these ongoing changes during a migration correctly is challenging and important to get right. Without automation, schema changes can break mappings, introduce errors, result in extensive tedious work, and slow projects down. Doyen automatically detects new schemas and adjusts the mapping to accommodate schema changes. By adapting to schema evolution, our platform reduces manual rework, prevents data integrity issues, and ensures billing and reporting workflows run as expected.
Dynamic Schemas : Now Available!
This capability is now built directly into Doyen as a new feature. Our AI-driven adjustments give engineering and finance teams confidence that data stays accurate for even the most aggressive migration timelines.