Glossary

What is Data Mapping?

What does Data Mapping mean?

Data Mapping is the process of linking data fields from one dataset or system to another to ensure accurate transfer, transformation, and integration of information. In ERP, CMMS, and EAM systems, data mapping is essential for aligning spare parts, vendor records, and material master data across different applications and business processes.

Mapping defines how source fields (e.g., manufacturer part number in a legacy system) correspond to target fields (e.g., material number in SAP). This ensures data consistency and eliminates errors when data moves between systems.

Key elements of Data Mapping

  1. Source-to-target mapping – Defining how fields in one system correspond to another.
  2. Transformation rules – Handling differences in formats, units, or naming conventions.
  3. Validation checks – Ensuring mapped data meets business and technical requirements.
  4. Automation tools – Using scripts, middleware, or integration platforms.
  5. Governance – Maintaining documentation and controls for future migrations.

Why Data Mapping matters for ERP and MRO

Accurate data mapping is critical when integrating systems or migrating to new platforms like SAP S/4HANA. Without proper mapping, companies face data loss, duplicate records, or misaligned spare part catalogues.

Benefits of effective data mapping include:

  • Smooth ERP and CMMS migrations.
  • Consistent master data across procurement, maintenance, and finance.
  • Reduced errors in reporting and analytics.
  • Faster deployment of digital initiatives.

Sharecat Data Services provides specialised expertise in Data Mapping for MRO and master data, ensuring that cleansed and standardised datasets integrate seamlessly across ERP, CMMS, and EAM systems.