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Informatica Cloud Data Quality

Informatica Cloud Data Quality

Overview

What is Informatica Cloud Data Quality?

The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives…

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Recent Reviews

TrustRadius Insights

Users of Informatica Data Quality, or IDQ, have found the software to be highly effective in addressing various data quality challenges. …
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IDQ-Good Tool

9 out of 10
December 09, 2021
IDQ is used for data cleansing and address validation. Passing Invalid Addresses and getting output as valid address and using these …
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Best Product!

10 out of 10
January 25, 2015
I used Informatica in my previous company for a Finacial Service provider for Data extraction from flat files. Data from various transfer …
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Informatica Data Quality

9 out of 10
April 11, 2014
Informatica is used to integrate to various applications like Salesforce, SAP etc. with Oracle and SQL databases. It's used by various …
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IDQ-Quality enhancer

4 out of 10
March 25, 2014
We found many data inconsistencies, foreign character problems and issues with simple formats and formulas. Special characters were also …
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IDQ cheap and popular!

7 out of 10
March 25, 2014
IDQ is used to update the customer data with correct address, name, phone numbers etc. It's used in the Digital IT department at my …
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IDQ Review

8 out of 10
March 10, 2014
In our organization that I was at, IDQ was being used only by a single department. We used IDQ to first help us standardize customer …
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Power of IDQ

8 out of 10
March 07, 2014
IDQ is being used across our organization. Specifically, we use IDQ for contact and address validation. As part of the sales and marketing …
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Awards

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

Popular Features

View all 6 features
  • Data source connectivity (6)
    9.3
    93%
  • Data profiling (6)
    9.2
    92%
  • Master data management (MDM) integration (6)
    8.9
    89%
  • Data element standardization (6)
    8.2
    82%
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Pricing

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N/A
Unavailable

What is Informatica Cloud Data Quality?

The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Demos

Informatica IDQ Training for Beginner | Informatica Data Quality Tutorial

YouTube

Informatica Data Quality Training Demo Video | Informatica Data Quality Tutorial

YouTube

How to Join Profile in Informatica Data Quality?

YouTube

Informatica Data Quality online training | Informatica Data Quality Training Demo

YouTube

#Informatica #Union #Transformation Training Session - Part 16 || Free Course

YouTube
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Features

Data Quality

Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making

8.9
Avg 8.9
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Product Details

What is Informatica Cloud Data Quality?

Informatica Cloud Data Quality Video

Big Data Demands Big Data Quality

Informatica Cloud Data Quality Competitors

Informatica Cloud Data Quality Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

The vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.

Ataccama ONE are common alternatives for Informatica Cloud Data Quality.

Reviewers rate Data source connectivity highest, with a score of 9.3.

The most common users of Informatica Cloud Data Quality are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(40)

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Users of Informatica Data Quality, or IDQ, have found the software to be highly effective in addressing various data quality challenges. One key use case is the validation of customer and vendor addresses, ensuring that there are no duplicates and verifying consistency in product descriptions. With simple and logical interfaces, IDQ eliminates the need for complex coding, making it accessible even to nontechnical citizen integrators. This democratization of integrations enables self-service capabilities and empowers users to easily scale up or down to accommodate different workloads without impacting performance.

Another important use case is the tool's support for data validation and cleansing processes. From address verification to content filtering, IDQ offers reliable data quality powered by AI. This allows users to identify and resolve quality issues that can potentially impact business initiatives. The software caters to both business users and developers, providing customization options and seamless integration with Informatica Power Center. Users can gain insights into their data by performing data profiling within the tool. This helps them make informed decisions before executing data quality operations.

IDQ has been extensively used across organizations for contact and address validation, enriching data to drive more effective campaigns. It has proven instrumental in resolving issues related to duplicate customers and products, resulting in improved sales projections and estimates. Users have relied on IDQ to address data inconsistencies, foreign character problems, as well as formatting and formula issues. The software also facilitates standardization of customer addresses, identification of duplicate records, and optimization of data for reporting tools.

Furthermore, IDQ seamlessly integrates with various applications such as Salesforce and SAP. This enables smooth handling of large volumes of records. Its capabilities extend beyond data validation; users leverage IDQ to update customer data with accurate details while identifying duplicate customers. Moreover, it serves as a comprehensive solution for monitoring overall data quality organization-wide, ensuring compliance with data quality standards. By automating technical and business data quality checks across multiple sources, users gain enhanced trust in their data and make more informed, data-driven business decisions.

Attribute Ratings

Reviews

(1-1 of 1)
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Score 9 out of 10
Vetted Review
Verified User
Incentivized
Automation of technical and business data quality checks on data from over 10 different data sources across various sectors. Access to end-users on the data profiles makes the company proactive in resolving data quality issues which in turn improves the trust in data. Eventually promotes business decisions backed by data.
  • Data quality profile
  • Automation of data quality check
  • Exception management
  • Customizable template to capture metadata
  • The cloud offering does not have all the features of on-prem version
  • The DQ report has limit of only a few sample records it shows, it could show more
  • Ability to delete an older version of metadata from the business glossary
It can handle large volumes and a large variety of data. Also, can handle a large number of enterprise users well.
  • Metadata / business glossary
  • Data quality automation
  • Data profiling
Data Quality (6)
75%
7.5
Data source connectivity
80%
8.0
Data profiling
90%
9.0
Master data management (MDM) integration
70%
7.0
Data element standardization
70%
7.0
Match and merge
70%
7.0
Address verification
70%
7.0
  • Overall DQ efficiency
  • Easier to understand data before writing the ETL code for the developers
  • Increased business user participation
SAP Master data governance, Microsoft products, and Collibra
No
  • Product Features
  • Product Usability
  • Product Reputation
We would keep is consistent with our process.
Easy to use not only for developers but also business users
  • Data profiling
  • Building data quality rules
  • Data quality reporting
  • Version control of metadata / business glossary
No
Scalability works as expected and it is truly an enterprise system.
The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server.
Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
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