Experian Data Quality vs Informatica Cloud Data Quality Radar

Experian Data Quality is ranked 4th in Data Quality with 1 review vs Informatica Cloud Data Quality Radar which is ranked 33rd in Data Quality. The top reviewer of Experian Data Quality writes "Fast in taking unstructured data, processing it and spitting out all the different data types. The team moved to SSIS/SSRS, I suspect it didn’t fit in with the goal of creating a data warehouse". Experian Data Quality is most compared with Melissa Data Quality, Informatica Address Verification and Talend Data Quality. Informatica Cloud Data Quality Radar is most compared with Informatica Data Quality, Oracle Data Quality and Informatica Data Preparation (REV).
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Quotes From Members Comparing Experian Data Quality vs Informatica Cloud Data Quality Radar

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Ranking
RANKING
Views
3,643
Comparisons
1,495
Reviews
1
Followers
146
Avg. Rating
7.0
Views
86
Comparisons
64
Reviews
0
Followers
47
Avg. Rating
N/A
Top Comparisons
Top ComparisonsSee more Experian Data Quality competitors »See more Informatica Cloud Data Quality Radar competitors »
Also Known As
Also Known AsQAS-Experian Data Quality, Experian PandoraCloud Data Quality Radar
Website/Video
Website/VideoExperian
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Informatica
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OverviewQuestionmark icon
OverviewExperian 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.

Informatica Cloud Data Quality Radar is a cloud application that quickly identifies, fixes, and monitors data quality problems in your business applications—wherever they are, in the cloud or on-premise.

This easy-to-use, browser-based tool empowers line-of-business managers to take ownership of the data quality process so business can maximize the return on trusted data. Informatica Cloud Data Quality Radar enables you to quickly assess the strengths and weaknesses in your data, to track improvements in the data over time, and to calculate data quality scores for objects and field entities with the flexibility to filter and drill down on specific records for better detection of problems.

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Sample Customers
Sample CustomersOverstock.com, Cabela, Drugstore.com, Saks Fifth Avenue, Midmark, Umpqua Bank, Colorado Department of Labor & Employment, Fresno Pacific University, University of North Texas, ALDO
Information Not Available
Top IndustriesQuestionmark icon
Top Industries
VISITORS READING REVIEWS
Financial Services Firm
43%
Comms Service Provider
15%
University
7%
Manufacturing Company
5%
No Data Available

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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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