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Informatica Cloud Data Quality - New SaaS Software

Informatica Cloud Data Quality

Manage the quality of your data effectively

(18 ratings)

Informatica Cloud Data Quality offers custom pricing plan

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Overview of Informatica Cloud Data Quality

What is Informatica Cloud Data Quality ?

Informatica Cloud Data Quality is an efficient tool for managing, tracking, and correcting data quality issues in the cloud and on-premise business applications. It offers an iterative data analysis to identify problem spots and data quality rules to save time, ... Read More

API available
fire
Free Trial available

Informatica Cloud Data Quality Platforms

  • Browser Based (Cloud)

Informatica Cloud Data Quality Customer Type

  • Large Enterprises
  • Medium Business
  • Small Business

Informatica Cloud Data Quality Features

Show All

Pricing of Informatica Cloud Data Quality

  • Free Trial,
  • Quotation Based

Informatica Cloud Data Quality Alternatives

Informatica Cloud Data Quality Customers

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Informatica Cloud Data Quality FAQs

Informatica Cloud Data Quality is a New SaaS Software. Informatica Cloud Data Quality offers the following functionalities:
  • Monitoring
  • Deduplication
  • Data Analysis
  • Quality Management
Read More
Here's a list of the best alternatives for Informatica Cloud Data Quality
Yes, Informatica Cloud Data Quality provides API.
No, Informatica Cloud Data Quality doesn’t provide mobile app.
Informatica Cloud Data Quality is located in Redwood City, California
Informatica Cloud Data Quality offers Free Trial, Quotation Based pricing models
We don't have information regarding integrations of the Informatica Cloud Data Quality as of now.

Informatica Cloud Data Quality Support

Contact

(877) 463-2435

Customer Service

Online

Location

Redwood City, California

Read More about Informatica Cloud Data Quality

Informatica Cloud Data Quality is an efficient tool for managing, tracking, and correcting data quality issues in the cloud and on-premise business applications. It offers an iterative data analysis to identify problem spots and data quality rules to save time, as well as transformations such as cleansing, standardisation and address verification. The solution's use of Spark processing increases its performance rate significantly. Furthermore, it provides continuous monitoring of data, and tracks changes across source systems over time. Automating

Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].

Researched by Rajat Gupta