Post: Case Study: Syncing CRM and HRIS Data with Make.com — Zero Duplicate Records in 90 Days
The Data Integrity Problem
Jeff’s operations consulting practice documented this pattern exactly: recruiters were spending 2 hours per day re-entering data that already existed in another system. A candidate in HubSpot converted to an employee in BambooHR. That transition required manual re-entry of 22 fields — name, contact info, role, compensation, start date, manager, department, and more. Done manually by a different person than who created the CRM record, field values diverged within weeks.
By month 6, the firm had 847 records with conflicting data between CRM and HRIS. Reports generated from one system contradicted reports from the other. The OpsMap™ audit revealed the problem in 4 hours; the OpsBuild™ solution took 3 weeks to implement.
The Architecture: Make.com as the Sync Layer
The solution used Make.com as a bidirectional sync orchestrator between HubSpot and BambooHR. Three core scenarios handled all data flows:
Scenario 1: CRM → HRIS on Hire. Trigger: HubSpot deal stage moves to “Offer Accepted.” Make.com reads the full contact record, maps 22 fields to BambooHR employee fields, creates or updates the HRIS record, and writes the BambooHR employee ID back to the HubSpot contact. This ID becomes the permanent link between the two systems.
Scenario 2: HRIS → CRM on Employee Change. Trigger: BambooHR employee record updated. Make.com reads the change, identifies the corresponding HubSpot contact via the stored employee ID, and updates the CRM record to reflect the change (role change, location change, departure). Keeps CRM talent data current for future recruiting and alumni outreach.
Scenario 3: Daily Reconciliation Audit. A nightly Make.com schedule queries both systems for records modified in the last 24 hours, compares field values against the canonical data model, and flags any conflicts to a Slack channel for human review. This is the quality control layer that catches edge cases the automated sync does not handle.
90-Day Results
Week 4: Duplicate records eliminated from both systems via automated deduplication run. Week 8: First complete 30-day period with zero manual data entries between CRM and HRIS. Week 12: Data reconciliation audit ran for 30 consecutive days without flagging any conflicts.
Measurable outcomes: 8 hours per week of manual data entry eliminated across the team, 100% field consistency between CRM and HRIS for all 22 synced fields, zero duplicate records at 90-day mark, and HRIS reporting accuracy improved to the point that HR reports were used in investor presentations for the first time.
- The permanent ID link (BambooHR employee ID stored in HubSpot) is the architectural key — without it, bidirectional sync produces duplicates
- A canonical data model defining authoritative source by field prevents conflict resolution ambiguity
- The daily reconciliation scenario is the quality control layer — automated sync handles 95% of cases, reconciliation catches the rest
- Deduplication before implementing sync is mandatory — syncing dirty data creates clean duplicates
- Data quality improvement has compounding value — HRIS reports that can be trusted in investor presentations are worth far more than the 8 hours per week saved
Frequently Asked Questions
What is the most common data sync problem between CRM and HRIS?
Duplicate records. When candidates exist in a recruiting CRM and convert to employees in the HRIS without automated sync, they get re-entered manually — often with slightly different field values. Over 12 months, this creates a data inconsistency problem that corrupts reporting across both systems.
How does Make.com sync CRM and HRIS without custom code?
Make.com’s native connectors for HubSpot, Salesforce, BambooHR, Workday, and others allow bidirectional field mapping. A trigger in one system (offer accepted in ATS) fires a Make.com scenario that creates or updates the corresponding record in the HRIS using API calls — no coding required.
How do you handle field mapping conflicts between CRM and HRIS?
Build a canonical data model in a Make.com data store or Airtable that defines the authoritative source for each field. Name = HRIS authoritative, compensation = HRIS authoritative, pipeline stage = CRM authoritative. Conflicts are resolved by reading from the authoritative source.
For the complete HR workflow automation guide, see our pillar resource: Automated Offer Letters with Make.com: Transforming Talent Acquisition.
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