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Most of them start with the data that goes in, long before anything gets appended.
When enrichment runs on records with junk names, mismatched domains or invalid emails, the new fields inherit the same problems. The CRM looks fuller and performs no better.
A contact stored under two emails, or once with a phone number and once without, gets enriched as two people. The spend doubles and reps still cannot tell which record is current.
Common names return several possible profiles. Pick the wrong one and the record picks up a title, company and location that belong to someone else.
When validation stops at the append, nobody knows whether the new email matches the person or the new address matches the company until a campaign bounces.
From incomplete CRM records to validated data your teams can segment, score and route
Half-complete records make every downstream decision harder. Segments miss accounts with blank industry fields, lead scores lean on job titles that changed a year ago, and routing rules stall because the location is missing.
Datamatics Business Solutions enriches the data you already own. Every record goes through a health check and a 10-point consistency check before enrichment, so new fields land on records worth enriching. Once enrichment is complete, the same ten checks run again, and anything that does not pass goes to an analyst before delivery.
Every field added is checked against the rest of the record, so the finished data holds together.
More than 16 contact fields appended, including job title, seniority, department and location. LinkedIn profiles are discovered and validated, and when a name matches several profiles, selection logic keeps the one that fits the rest of the record.
Company records are enriched with address, geographic and company page data. Every address is geo-validated against map data, so the location on file is one the company actually uses
Email addresses are generated from company email patterns and validated against the contact’s name and the company’s web domain, so the address on file belongs to the right person at the right company.
The engine resolves most records automatically. Analysts review every record it flags
Classifies junk contact and company records, validates each field and measures data coverage, so you see what is usable before enrichment begins.
Checks every record for consistency across company, website, email, location, postal code and phone data, then removes duplicate and conflicting records using six matching combinations.
Appends contact fields, LinkedIn profiles, company address and geographic data, and validated email addresses drawn from multiple sources.
Runs the same 10-point check on every enriched record, so each new field is tested against the rest of the data before it ships.
Analysts review flagged records and critical fields, then deliver a structured, CRM-ready dataset with quality scores, coverage metrics and delivery fields kept separate from reference fields.
From the first health check to a validated, CRM-ready dataset, see the full enrichment process in under five minutes.
Verified performance across enterprise, mid-market and global accounts.
Perspectives on enrichment, validation and CRM data strategy from the DBSL team.
James Libera
James Libera
Rembert Pereira
Rembert Pereira
James Libera
James Libera
James Libera
James Libera
Rembert Pereira
Reach out directly and our team will walk you through your specific data needs.
Yes. Enriched data is formatted for direct import into Salesforce, HubSpot, Microsoft Dynamics, Zoho, Freshworks and custom CRMs.
Re-enriching every 6 to 12 months keeps most B2B databases fresh, and continuous monitoring is available for high-volume CRMs. Pairing enrichment with data cleansing removes outdated records while new fields fill the gaps.
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