Data Mapping 

Part of the CloudQix Glossary of Data Integration Terms 

Definition 

Data mapping is the process of matching fields from one dataset to another to ensure accurate data transfer during integration. 

In-Depth Explanation 

When systems share data, their field names, formats, and structures often don’t match. Data mapping creates rules that align these fields so data is transformed correctly. It is an essential part of integration, ensuring accuracy and consistency across platforms. 
 
CloudQix automates data mapping with no-code workflows, reducing manual setup and preventing costly data mismatches. 

Examples by Industry 

• Finance: Mapping ‘Acct_ID’ from a bank database to ‘AccountNumber’ in accounting software. 

• Software: Mapping error codes from a monitoring system to bug categories in Jira. 

• Retail: Mapping product IDs from a supplier’s system to SKUs in a store database. 

• Transportation & Logistics: Mapping shipment codes from carriers to warehouse tracking fields. 

Why It Matters 

Without data mapping, integrations fail or create incorrect outputs. Mapping ensures data is accurate, consistent, and usable across systems. 

Related Terms / See Also 

• Data Integration 

• ETL (Extract, Transform, Load)

• ELT (Extract, Load, Transform) 

• API Integration 

FAQ 

Question: What is data mapping in simple terms? 
Answer: It’s matching fields from one system to fields in another system. 

Question: Why is data mapping important? 
Answer: It ensures data moves correctly between systems without errors. 

Question: Does CloudQix support data mapping? 
Answer: Yes, CloudQix automates mapping as part of its no-code workflows. 

Simplify Data Mapping with CloudQix 

Let CloudQix handle your data mapping automatically. Start for free today!