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Fix Bad Data at the Source

Clean, standardise, enrich, verify and deduplicate customer data — so teams can trust their systems, reporting and campaigns.

Eliminate duplicate and inaccurate records
Improve campaign performance and deliverability
Reduce costly operational errors
Create a single, trusted customer view

Trusted by enterprises, governments and global brands.

94% of businesses believe they have inaccurate data.
That leads to:

Inaccurate customer records entering systems at the point of capture.
Inconsistent contact data across CRM, billing and operational platforms.
Manual corrections and rework caused by incomplete or duplicate records.
Reduced visibility into customer data across teams and regions.

End-to-End Data Quality — Built For Real Environments

Melissa’s data quality solutions helpyou profile, clean, verify and maintain accurate data across its entire lifecycle — across real systems, real data volumes and real constraints.

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Profile & Monitor

Identify where bad data enters your systems and track data quality over time.

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Cleanse & Standardise

Correct inconsistencies and formatting issues using advanced rules and machine learning.

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Verify & Enrich

Validate addresses, emails, phone numbers, names and key identity fields.

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Match & Consolidate

Identify and merge duplicate records to create a single, trusted “golden record”.

Trusted by over 10,000 companies

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Ready to Start Your Demo?

Start today with Melissa's wide range of Data Quality Solutions, Tools, and Support.

Schedule Demo Today!