Audience
Enterprises interested in a solution to verify and correct contact data at point of entry
About Melissa Data Quality Suite
Up to 20 percent of a company’s contacts contain bad data according to industry experts; resulting in returned mail, address correction fees, bounced emails, and wasted sales and marketing efforts. Use the Data Quality Suite to standardize, verify and correct all your contact data, postal address, email address, phone number, and name for effective communications and efficient business operations. Verify, standardize, & transliterate addresses for over 240 countries. Use intelligent recognition to identify 650,000+ ethnically-diverse first & last names. Authenticate phone numbers, and geo-data & ensure mobile numbers are live & callable. Validate domain, syntax, spelling, & even test SMTP for global email verification. The Data Quality Suite helps organizations of all sizes verify and maintain data so they can effectively communicate with their customers via postal mail, email, or phone.
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Web APIs by Melissa
Melissa’s Web APIs provide a comprehensive solution for global data verification, cleansing, and enrichment to maintain reliable data. Verify, standardize and cleanse global identities, addresses, phones & emails, powered by AI-driven reference data. Our flexible APIs are designed for modern interfaces, including REST, JSON, and XML are easily accessible through our Developer Portal, where you can build, test, and explore integrations.
Enhance your data with geographic, demographic, and firmographic insights, along with U.S. property data for advanced enrichment. Melissa supports seamless integration with popular platforms such as Salesforce, Shopify, and more, making data management and governance simple and efficient. Whether you’re focused on data management, data validation, or leveraging our APIs into your website or mobile applications, Melissa helps you unlock the full potential of your data.
Get started with 1,000 complimentary credits! All you need is a Melissa account
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Pricing
Free Trial:
Free Trial available.
Company Information
Melissa
Founded: 1985
United States
www.melissa.com/data-quality-suite
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Product Details
Platforms Supported
Cloud
Windows
On-Premises
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
24/7 Live Support
Online
Melissa Data Quality Suite Frequently Asked Questions
Q: What kinds of users and organization types does Melissa Data Quality Suite work with?
Melissa Data Quality Suite works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Melissa Data Quality Suite support in their product?
Melissa Data Quality Suite supports these languages: English.
Q: What kind of support options does Melissa Data Quality Suite offer?
Melissa Data Quality Suite offers support via phone support, 24/7 live support, and online.
Q: What other applications or services does Melissa Data Quality Suite integrate with?
Melissa Data Quality Suite integrates with: Microsoft Excel, IBM AIX, Oracle Cloud Infrastructure, and Oracle Solaris.
Q: Does Melissa Data Quality Suite have an API?
Yes, Melissa Data Quality Suite has an API.
Q: What type of training does Melissa Data Quality Suite provide?
Melissa Data Quality Suite provides training in the form of documentation, live online, webinars, in person, and videos.
Q: Does Melissa Data Quality Suite offer a free trial?
Yes, Melissa Data Quality Suite offers a free trial.
Melissa Data Quality Suite Product Features
Data Quality
Address Validation
Supported
Data Profililng
Supported
Master Data Management
Supported
Data Deduplication
Not Supported
Data Discovery
Not Supported
Match & Merge
Not Supported
Metadata Management
Not Supported
Email Verification
Bulk Email Verification
Supported
Catch-all Server Detection
Supported
Disposable Email Detection
Supported
Domain Check
Supported
Single Email Verification
Supported
Spam Trap Detection
Supported
Syntax Check
Supported
Mail Server Validation
Not Supported
