Clean Your Kitchen: Fix Messy Data for Automation

Step 1: Audit Your Ingredients

Run a data audit to identify missing fields, outdated information, or duplicates.

Bullhorn Automation can help flag incomplete records - but to actually merge duplicates or clean at scale, you’ll want to use Kyloe DataTools for efficient, mass updates.

Step 2: Improve Data Quality with Smart Automation

You can use automation to make your data cleaner - not just to send messages.

Set up automations to:

• Send quick surveys asking candidates to confirm details like current role, industry, or contact info.
• Ask clients directly if they’re still hiring or have open roles.
• Trigger reminders when required fields aren’t filled in and automatically escalate to a manager if tasks aren’t completed.
• Use what you already know (like job titles and specializations) to infer related fields and improve consistency.

This way, your automations don’t just use your data - they actively make it better over time.

Step 3: Keep It Consistent

Use required fields, validations, and field interactions to make sure new records are entered correctly from day one.

These small rules help maintain accuracy and keep automation running smoothly.

Step 4: Maintain the Habit

Data hygiene isn’t a one-time cleanup - it’s an ongoing habit.

Schedule regular reviews and use automation to monitor your data quality automatically.

The Proof Is in the Pudding

Clean data makes all the difference, just ask Vernovis.

“We needed to clean up a ton of data... we planned to use automation for high-volume outreach to clients and candidates, and their information had to be correct.”

With Kyloe’s Data Hygiene + Bullhorn Automation Package, they cleaned up duplicates, fixed missing details, and standardised key fields before rolling out over 30 automations that now run smoothly and reliably.

Clean data → better automations → stronger relationships. Simple as that.