What is the recommended approach to cleansing data before migrating to Salesforce?

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Multiple Choice

What is the recommended approach to cleansing data before migrating to Salesforce?

Explanation:
Cleansing the data outside Salesforce and then migrating is the best approach because it lets you apply consistent quality rules, standardize formats, resolve duplicates, and validate relationships in a controlled staging environment before any records enter Salesforce. This reduces the risk of import errors, simplifies mapping to Salesforce fields, and minimizes the need for extensive post-migration cleanup. Cleansing inside Salesforce can be slower, limited by UI and record-by-record processing, and may complicate the migration workflow. Relying on after-the-fact deduping or cleanup lets bad data propagate, creating bigger problems to fix later. Performing cleansing beforehand ensures you load a clean, well-structured dataset, and you can then load with confidence using standard import tools.

Cleansing the data outside Salesforce and then migrating is the best approach because it lets you apply consistent quality rules, standardize formats, resolve duplicates, and validate relationships in a controlled staging environment before any records enter Salesforce. This reduces the risk of import errors, simplifies mapping to Salesforce fields, and minimizes the need for extensive post-migration cleanup.

Cleansing inside Salesforce can be slower, limited by UI and record-by-record processing, and may complicate the migration workflow. Relying on after-the-fact deduping or cleanup lets bad data propagate, creating bigger problems to fix later. Performing cleansing beforehand ensures you load a clean, well-structured dataset, and you can then load with confidence using standard import tools.

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