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Most teams spot the symptoms in campaign reports well before anyone traces them back to the database.
From a full data health audit to a CRM your teams can work from with confidence
CRM data starts going out of date the day it is entered. Traditional databases lose 22 to 33% of their accuracy every year, and the drift shows up quietly in bounce reports, duplicate outreach and segments that miss the people they were built for.
Datamatics Business Solutions audits your existing database, fixes what is wrong and removes what cannot be used. AI-driven validation checks every record against live data sources, analysts review the fields that matter most, and every change is logged so you can see exactly what happened to your data.
Duplicate contacts and accounts are removed, incorrect information is corrected and records that cannot be used are taken out. Every change is logged, giving you a full audit trail.
Email addresses, phone numbers, job titles, company details, websites and addresses are cross-checked against live data sources. Records that are invalid or cannot be verified are flagged and reported back to you.
Standardization for clean segmentation
AI validates every record at scale. Human analysts handle the edge cases that rules alone would miss.
Identifies duplicates, invalid emails, outdated entries, inconsistencies and formatting issues across your CRM, so you see the full picture of your database before cleansing begins.
Removes duplicates, fixes incorrect information, standardizes field formats and logs every change for a complete audit trail.
Checks email addresses, phone numbers, job titles and company details against live data sources, then flags and reports anything invalid or unverifiable.
Analysts review critical fields for accuracy, compliance and context, applying judgment to the edge cases automated rules cannot settle.
The cleansed, standardized dataset comes back ready for direct import into your CRM, with no manual reformatting needed.
From the first data health audit to a cleansed, CRM-ready dataset, see the full process in under five minutes.
Cleansing built around your CRM, your fields and the campaigns that depend on them.
Verified performance across enterprise, mid-market and global accounts.
Perspectives on data quality, deduplication and database maintenance from the DBSL team.
James Libera
James Libera
Rembert Pereira
James Libera
James Libera
James Libera
James Libera
James Libera
Rembert Pereira
Building, enriching and cleansing CRM data keeps records accurate, complete and usable. Clean data improves segmentation, increases deliverability, reduces wasted sales effort and makes revenue more predictable.
Duplicate records, invalid and bounced email addresses, outdated job titles and roles, incorrect company information, formatting inconsistencies across fields and missing critical data points such as phone, industry or seniority.
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