Experian Data Quality vs. IBM Information Analyzer

As of February 2019, Experian Data Quality is ranked 7th in Data Quality vs IBM Information Analyzer which is ranked 3rd in Data Quality with 1 review. The top reviewer of IBM Information Analyzer writes "Data rules, column analysis are valuable but the interface is not intuitive". Experian Data Quality is most compared with Melissa Data Quality, Talend Data Quality and Alteryx. IBM Information Analyzer is most compared with IBM QualityStage, Informatica Data Quality and Oracle Data Quality.
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317,758 professionals have used our research since 2012.
Ranking
7th
out of 36 in Data Quality
Views
4,350
Comparisons
1,067
Reviews
0
Followers
115
Avg. Rating
N/A
3rd
out of 36 in Data Quality
Views
3,110
Comparisons
833
Reviews
1
Followers
140
Avg. Rating
8.0
Top Comparisons
Compared 14% of the time.
Also Known As
QAS-Experian Data Quality, Experian Pandora, Intelligent Search Technology Data QualityInformation Analyzer
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Experian
IBM
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.IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.
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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, ALDOIntegra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
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.

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