What is Melissa Data Quality?

Solutions to clean, enrich and match contact records for deeper customer insight, improved communications and better data management.

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Solutions for Global Data Quality

Verify

Verify all customer data: address, phone, email, name and digital identity.

Enrich

Enrich business and consumer records with firmographic, property & demographic geographic data elements.

Match

Dedupe and match similar records for a single customer view - improving operations & customer support.

Melissa Data Quality

Solutions to dedupe, cleanse and enrich consumer and business data.

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The Latest from all Melissa Brands

Mailing lists, list hygiene, and data appending services.

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Get free credits to try many Data Quality RESTful APIs in our sandbox.

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“Current Trends in AI (Machine Reasoning & Machine Learning)” hosted by Information Management.

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Search ZIP Codes, find carrier routes, verify address, email, reverse phone, IP location and more!

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Introducing the Most Advanced Solution Available to Verify the Identity of Your Clients.

Using biometrics including facial recognition and document scanning as well as basic data checks, Melissa’s ID Verification services ensure you are fully KYC and AML compliant.

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See the real-world benefits and results using our leading-edge solutions.

Case Study
car2go
Case Study
Z1 Motorsports
Case Study
HUF
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Melissa Current Events & Webinars

Nov 15
NoCoug Conference
CSU Easy Bay Oakland Center – Oakland, CA
Dec 5 - 6
Fintech Connect
ExCel London
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The latest news, press releases, and analyst reports so you can stay up-to-date with all things Melissa.

News November 13, 2018

Melissa Direct Advances Data-Driven Targeting for Marketers

Consumer, Business and Property Mailing Lists Optimized for Sales and KYC Insight, Reducing Costs and Expanding Reach of Direct Marketing Campaigns
News October 23, 2018

Melissa Sponsors PASS Summit Session on Optimizing Your Data Quality Business

Free Lunch and Learn Session Guides Data Quality Pros in Applying Tools, Accelerating Analytics, and Monetizing Data Cleansing
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