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Experian Data Quality vs Human Inference HIquality Identify vs Oracle Data Quality comparison

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Buyer's Guide
Data Quality
April 2024
Executive Summary

We performed a comparison between Experian Data Quality, Human Inference HIquality Identify, and Oracle Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: April 2024).
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767,847 professionals have used our research since 2012.
Featured Review
Anonymous User
Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to...
The product was dropped not long after I left the organization, I was told. The data team I was on moved to SSIS/SSRS, I heard. I suspect it didn’t... Read more →
Use Human Inference HIquality Identify?
Venkatraman Bhat
Fast, has good extraction, validation, and transformation features, and provides good support
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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Information Not Available
  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."

    • More Oracle Data Quality Pricing and Cost Advice →

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    Questions from the Community
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    What do you like most about Oracle Data Quality?
    Top Answer:The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a… more »
    Read all 3 answers   →
    What needs improvement with Oracle Data Quality?
    Top Answer:Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the… more »
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    What is your primary use case for Oracle Data Quality?
    Top Answer:We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and… more »
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    Ranking
    17th
    out of 56 in Data Quality
    Views
    236
    Comparisons
    199
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    38th
    out of 56 in Data Quality
    Views
    25
    Comparisons
    15
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    10th
    out of 56 in Data Quality
    Views
    489
    Comparisons
    222
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    Comparisons
    Also Known As
    QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data Quality
    HIquality Identify
    Datanomic
    Learn More
    Experian
    Human Inference
    Oracle
    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.
    Information Not Available
    Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.
    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
    Nyenrode Business University
    Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company15%
    Energy/Utilities Company13%
    Retailer7%
    No Data Available
    VISITORS READING REVIEWS
    Financial Services Firm27%
    Computer Software Company9%
    Manufacturing Company9%
    Wholesaler/Distributor4%
    Company Size
    REVIEWERS
    Small Business13%
    Midsize Enterprise13%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise10%
    Large Enterprise71%
    No Data Available
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Data Quality
    April 2024
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    767,847 professionals have used our research since 2012.