Data Hygiene: What to Clean Before You Integrate

The single biggest predictor of integration success isn't the technology—it's the quality of your data. Dirty data in means dirty data out, and integrations amplify data problems across your entire tech stack.

Problem one: duplicate records. If you have the same customer represented multiple times in your CRM, an integration will sync all of them to your other system—creating even more duplicates. Dedupe before you integrate.

Problem two: inconsistent formatting. Phone numbers with and without country codes, addresses in free-form text versus structured fields, dates in different formats. These inconsistencies cause sync failures or create garbage data in the target system.

Problem three: missing required fields. If your integration requires an email address to match records and 30% of your contacts don't have emails, those records will fail to sync. Identify required fields and fill the gaps first.

Problem four: stale data. Records that haven't been updated in years, contacts who left their companies, deals that should have been closed-lost. Syncing stale data wastes API calls and clutters your target system.

Problem five: invalid relationships. Contacts associated with the wrong company, deals linked to inactive owners. These relationship errors propagate through integrations and create confusion downstream.

We recommend a data audit before any integration project. Identify and fix these issues first—it's much cheaper than debugging sync failures after the fact.