“My customer data has duplicates, and I don’t know what to do.” If that sounds familiar, you’re not alone: duplicate data is a problem many businesses face, especially when they’re juggling multiple systems. The fix has two parts. First, find the duplicates and merge or clean them. Then stop new ones appearing by integrating your systems properly, switching on duplicate detection, training your team and auditing your data regularly. This guide walks through both.
What causes duplicate data in business systems?
Duplicate customer data has four common causes: manual data entry errors, disconnected systems, missing data validation rules and importing unfiltered data. Each one lets a second version of the same customer slip into your CRM or ERP. If your database is full of duplicates, one or more of these is usually behind it, and knowing which tells you where to focus the fix.
| Cause | How it creates duplicates |
|---|---|
| Manual data entry errors | Small inconsistencies such as misspellings (“Jon Smith” vs “John Smith”) create a second record |
| Disconnected systems | When your CRM and inventory management system aren’t integrated, duplicates often emerge during data transfers |
| No data validation rules | Without strict requirements such as unique identifiers (for example, email addresses), duplicates slip in easily |
| Importing unfiltered data | Importing customer lists from spreadsheets or other systems without deduplicating them first multiplies duplicates |
How do I find duplicate records in my CRM or ERP?
Start by identifying the duplicates. Use your system’s built-in duplicate detection (HubSpot, for example, scans and flags duplicate contacts and companies), export data to Excel or Google Sheets for manual review, check key fields such as email, phone and name, and review your integrations to make sure syncs aren’t creating new duplicate entries.
- Use duplicate detection tools. Systems like HubSpot offer built-in features that scan and flag duplicate contacts or companies.
- Export data for manual review. Export your customer data into Excel or Google Sheets and use filters or conditional formatting to highlight duplicates.
- Examine key fields. Look for duplicates in critical fields such as email addresses, phone numbers and names.
- Review system integrations. If you use HubSpot and OrderWise, check the synchronisation settings to make sure duplicate entries aren’t being created during data syncs.
How do I fix duplicate data?
Merge duplicate records into one clean record using your CRM’s merge feature, or consolidate them by hand if your system can’t. Then deal with the sources: clean spreadsheets before you import them, standardise how data is entered and automate cleaning where you can. Merging fixes today’s duplicates; the other three steps stop the same mess building up again.
- Merge duplicate records. Use your CRM’s merging feature to combine duplicates into one clean record. If your system doesn’t offer this, consolidate the records manually.
- Clean data before importing. Deduplicate spreadsheets before importing them, using Excel’s “Remove Duplicates” feature or specialised software.
- Standardise data entry. Set rules for data entry, such as consistent formatting for names and phone numbers.
- Automate data cleaning. Use tools designed to identify and clean duplicate data across your systems automatically.
If the duplicates came in through a past import or system move, our guide to HubSpot data migration costs explains what a properly scoped migration includes.
How can I prevent duplicate data in future?
Prevention is the part that lasts. Integrate your systems properly so data transfers don’t create new records, turn on duplicate detection so users are warned before they add a duplicate, train your team in good data entry habits and schedule monthly or quarterly data audits to catch problems early. Together these keep your customer data clean without repeated big clean-ups.
- Integrate your systems properly. Make sure platforms such as HubSpot and your OrderWise ERP are properly integrated, so data transfers don’t create duplicate entries. Our article on why to integrate HubSpot and OrderWise covers this in more detail.
- Enable duplicate detection. Turn on features that alert users to potential duplicates when they add new records.
- Train your team. Show employees good data entry practice to avoid errors and inconsistencies.
- Conduct regular data audits. Schedule monthly or quarterly reviews of your customer data to catch duplicates early.
Why does clean customer data matter?
Duplicate records cost you in three ways. They create inefficiency for sales and customer service teams, they make reporting and analytics inaccurate, and they damage customer relationships through incorrect or repeated communications. Taking control of your data improves operational efficiency and the experience your customers get.
- Inefficiency for sales and customer service teams.
- Inaccurate reporting and analytics.
- Damaged customer relationships from incorrect or repeated communications.
A working integration is only half of it; why clean data matters more than the sync explains the other half. If you’d like help cleaning or moving your data, see our data migration service. For HubSpot and OrderWise syncing, Cogent’s own connector is OW Sync.
Questions people also ask
Should I merge or delete duplicate records?
Merge where you can. Use your CRM's merging feature to combine duplicates into one clean record, so nothing useful from either copy is lost. If your system doesn't offer merging, consolidate the records by hand, keeping the most accurate details from each, then remove the leftover copy.
How do I stop my integration creating duplicates?
Make sure platforms such as HubSpot and OrderWise are properly integrated, and check the synchronisation settings so that records are matched rather than recreated each time data moves between them. Disconnected or badly configured systems are one of the main ways duplicates appear during data transfers.
How often should I check my data for duplicates?
Schedule a monthly or quarterly review of your customer data. Regular audits catch duplicates early, before they spread into reports, sales activity and customer emails. Pair the audit with duplicate detection switched on, so users are warned about likely duplicates when they add new records in between reviews.
Why do duplicates matter if the data is still there?
Because duplicates create inefficiency for sales and customer service teams, who waste time working out which record is right. They also make reporting and analytics inaccurate, and they damage customer relationships when people receive incorrect or repeated communications. Clean data improves both how you operate and how customers experience you.