Context
Financial company with a large internal database of company records accumulated over time. Records were the foundation for outreach but had degraded in quality to the point of being unusable.
The problem
Data was incomplete, inconsistent in format, and outdated. Company identities were duplicated or fragmented. The dataset couldn't support reliable outreach at any scale.
What changed
- Normalized records across inconsistent schemas and formats.
- Resolved company identity conflicts through deduplication and entity matching at scale.
- Enriched each record with current company data and relevant stakeholder information.
- Rebuilt the dataset into a structured, query-ready format for outbound execution.
Outcome
- Millions of records transformed from unusable to structured and actionable.
- Outbound execution enabled on a dataset that had previously been dormant.
- Entity resolution reduced duplicate contacts and improved deliverability from the first send.
