Data Mapping
Related terms
Category
Implementation
Data mapping is the process of defining how fields, accounts, and values from a source system correspond to fields in a target system. In financial close and consolidation, data mapping ensures that trial balances, journal entries, and transaction data from diverse ERPs are translated into a common structure for reporting.
Why it matters
Multi-entity organizations frequently operate multiple ERP systems, each with its own chart of accounts, segment structures, and data formats. Before these entities can be consolidated, their data must be mapped to a common group structure. Errors in data mapping. an unmapped account, a reversed sign convention, or an incorrect segment translation. flow directly into consolidated financials and are difficult to detect downstream.
Data mapping is also one of the most labor-intensive aspects of implementation and ongoing maintenance. Account structures change, new entities are acquired, and ERPs are upgraded. Each change requires reviewing and updating the mappings. Without a systematic approach, mapping maintenance becomes a bottleneck that slows every financial close.
Dedicated data integration platforms provide visual mapping interfaces with version control, validation rules, and AI-suggested mappings that reduce the implementation and maintenance burden.
How Arvexi handles this
Arvexi's Data Integration platform provides a visual mapping interface where administrators define source-to-target account mappings, segment translations, and value transformations. Cortex suggests mappings for new accounts based on historical patterns. Unmapped accounts are blocked from entering the consolidation workflow, and mapping changes are version-controlled with full audit trails.
Explore how Arvexi automates this: Data Integration · Cortex