Hive AI
Migration Mapping Agent
Data migrations require mapping thousands of fields between source and target systems. Simple boolean logic and heuristic rules handle the straightforward cases, but complex mappings — where context, semantics, or domain knowledge determine the correct transformation — require expert judgment that is time-consuming to document and apply. What if an Agent could automatically generate these complex mappings by reasoning over source data samples, target schema definitions, and business rules expressed in plain language?Business challenge:
Data migrations require mapping source system fields to a target schema, often involving thousands of fields across complex data models. Simple boolean and heuristic rules handle straightforward mappings, but a significant portion requires contextual reasoning, domain expertise, and business logic that is time-consuming to document and error-prone to apply manually. Engaging experienced consultants to handle these complex mappings is costly, and the knowledge is rarely captured in a reusable way.
Core Features:
The Migration Mapping Agent combines both Boolean, Heuristic and Semantic AI based mapping features
- Boolean & Heuristic Mapping - Based on business rules for data that can be mapped directly, majority if migration data can be tackled
- Semantic AI based mapping – Items which cannot be mapped directly is run through an AI agent which utilizes skills like synonyms, semantic similarity to propose the best and top 5 matches
- User Interface – The migration process can be tracked and managed through a dedicated User Interface
Key benefits:
- Reduced labour time/costs associated with manual mapping (which can take up to several minutes per item and items can be thousands)
- Better quality of mapped data
- User Interface for tracking the migration mappings and where manual corrections can be performed
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