When importing data into ServiceNow, data integrity and accuracy are critical. ServiceNow recommends cleaning and verifying data before importing it into the system.
Best Practice: Clean Data Before Importing
Obsolete or inaccurate data can cause duplicate or incorrect records.
Pre-cleaning ensures only relevant, high-quality data is loaded into ServiceNow.
Improves system performance by preventing unnecessary data clutter.
Recommended Pre-Import Steps:
Identify and remove obsolete records (e.g., inactive users, old assets).
Fix formatting issues (e.g., date formats, duplicate values).
Verify data mappings to ensure correct field alignment.
Use a small test import before a full-scale import.
Why Other Options Are Incorrect?
A . Adjust your Transform maps, after the data is loaded into the target table → ❌ Incorrect Transform Maps should be set before importing, not after.
Adjusting them afterward may require reloading data.
B . Use extremely large Import Sets, instead of multiple large Import Sets → ❌ Incorrect Large imports can cause performance issues.
Best practice: Use incremental imports with data validation.
C . Create a new Import Set table for each new data load → ❌ Incorrect
Reusing Import Set tables is more efficient.
New tables are needed only for major structural differences.
E . Monitor data quality and clean imported data, using the Data Scrub Workspace → ❌ Incorrect No such feature as "Data Scrub Workspace" exists in ServiceNow.
Data should be cleaned before importing, not after.
Official ServiceNow Documentation Reference:
Best Practices for Importing Data
Preparing Data for Import