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Data Ops2025-01-14

Data Ops: Cleaning, Deduplication, Enrichment, and CRM Imports

Data operations determine whether your GTM engine runs smoothly—or constantly breaks. Learn the 5 steps to better Data Ops.

Data operations determine whether your GTM engine runs smoothly—or constantly breaks.

Step 1: Data Cleaning

Before using any dataset:

  • Remove invalid emails
  • Normalize job titles
  • Standardize company names
  • Validate domains

Dirty data kills campaigns silently.

Step 2: Deduplication

Duplicates cause:

  • Double outreach
  • Confused sales teams
  • Inflated metrics

Deduplicate by:

  • Email
  • LinkedIn URL
  • Company + role combinations

Step 3: Enrichment

Enrichment turns raw data into actionable intelligence:

  • Company size & revenue
  • Tech stack
  • Hiring trends
  • Social links

But enrich after cleaning, not before.

Step 4: CRM-Ready Structuring

Map fields clearly:

  • Lead vs Account fields
  • Contact ownership
  • Source tagging
  • Campaign attribution

Bad imports create long-term reporting chaos.

Step 5: Continuous Data Hygiene

Data decays fast. Best teams:

  • Revalidate quarterly
  • Remove inactive contacts
  • Update role changes
  • Track engagement decay

Key Takeaway

Data Ops is not backend work—it’s revenue infrastructure.

Ready to put this into action?