When importing data into ServiceNow,data integrity and accuracyare critical. ServiceNow recommendscleaning and verifyingdatabefore importingit into the system.
Obsolete or inaccurate datacan cause duplicate or incorrect records.
Pre-cleaningensures onlyrelevant, high-quality datais loaded into ServiceNow.
Improves system performanceby preventing unnecessary data clutter.
Identify and remove obsolete records(e.g., inactive users, old assets).
Fix formatting issues(e.g., date formats, duplicate values).
Verify data mappingsto ensure correct field alignment.
Use a small test importbefore a full-scale import.
Best Practice: Clean Data Before ImportingRecommended Pre-Import Steps:
A. Adjust your Transform maps, after the data is loaded into the target table →Incorrect
Transform Mapsshould be setbefore importing, not after.
Adjusting them afterward may requirereloading data.
B. Use extremely large Import Sets, instead of multiple large Import Sets →Incorrect
Large imports can causeperformance issues.
Best practice: Useincremental importswith data validation.
C. Create a new Import Set table for each new data load →Incorrect
Reusing Import Set tablesis more efficient.
New tables are neededonly for major structural differences.
E. Monitor data quality and clean imported data, using the Data Scrub Workspace →Incorrect
No such featureas "Data Scrub Workspace" exists in ServiceNow.
Datashould be cleaned before importing, not after.
Why Other Options Are Incorrect?
Best Practices for Importing Data
Preparing Data for Import