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Experian Data Quality vs Melissa Data Quality comparison

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Featured Review
Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: January 2022.
563,327 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
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  • "This vendor has no equal in pricing for equivalent functionality."
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    Use our free recommendation engine to learn which Data Quality solutions are best for your needs.
    563,327 professionals have used our research since 2012.
    Ranking
    14th
    out of 41 in Data Quality
    Views
    673
    Comparisons
    515
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    7th
    out of 41 in Data Quality
    Views
    1,137
    Comparisons
    573
    Reviews
    1
    Average Words per Review
    1,884
    Rating
    9.0
    Comparisons
    Also Known As
    QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality
    Learn More
    Overview
    Experian Data Quality (previously QAS) contact data management tools help you capture correct address, email, and phone data as it comes in, Our data management platform, Experian Pandora, is an end to end platform that supports all your Data Management needs - Data Quality, Data Migration, Data Governance, Data Preparation and Single Customer View.

    Data Quality Components for SSIS

    This suite of data transformations for Microsoft SQL Server Integration Services (SSIS) delivers the full spectrum of data quality including data profiling, data verification, data enrichment and data matching. With an intuitive interface and drag/drop capabilities, this powerful toolkit makes it easy to unify data into a single version of the truth for Master Data Management (MDM) success.

    Offer
    Learn more about Experian Data Quality
    Learn more about Melissa Data Quality
    Sample Customers
    Overstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO
    Boeing Co., FedEx, Ford Motor Co, Hewlett Packard, Meade-Johnson, Microsoft, Panasonic, Proctor & Gamble, SAAB Cars USA, Sony, Walt Disney, Weight Watchers, and Intel.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company32%
    Financial Services Firm13%
    Outsourcing Company9%
    Comms Service Provider6%
    REVIEWERS
    Healthcare Company16%
    Retailer11%
    Financial Services Firm11%
    Government11%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider11%
    Financial Services Firm7%
    Insurance Company7%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise75%
    REVIEWERS
    Small Business31%
    Midsize Enterprise15%
    Large Enterprise54%
    Find out what your peers are saying about SAP, SAS, Informatica and others in Data Quality. Updated: January 2022.
    563,327 professionals have used our research since 2012.

    Experian Data Quality is ranked 14th in Data Quality while Melissa Data Quality is ranked 7th in Data Quality with 1 review. Experian Data Quality is rated 0.0, while Melissa Data Quality is rated 9.0. On the other hand, the top reviewer of Melissa Data Quality writes "SSIS MatchUp Component is Amazing". Experian Data Quality is most compared with Alteryx, Informatica Address Verification, Informatica Data Quality, SAP Data Quality Management and Talend Data Quality, whereas Melissa Data Quality is most compared with Informatica Address Verification, Talend Data Quality, Ataccama DQ Analyzer, iWay Omni-Gen Data Quality and Alteryx.

    See our list of best Data Quality vendors and best Data Scrubbing Software vendors.

    We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.