Informatica LLC

Informatica Data Quality

8.1 /10

33 Reviews Write a Review

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What is Informatica Data Quality?

Ensure end-to-end support for growing data quality needs across users and data types with AI-driven automation.

Company Details

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Awards & Recognition

Informatica Data Quality won the following awards in the Data Quality category

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3 Top Rated Capabilities

1 Top Rated Features

Latest Award, 2024

1 Top Rated Capabilities

1 Top Rated Features

2023

2022 Data Quadrant Gold Medalist

2022

6 Top Rated Capabilities

4 Top Rated Features

2022

Informatica Data Quality Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Informatica Data Quality.

87 Likeliness to Recommend

97 Plan to Renew

79 Satisfaction of Cost Relative to Value

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Emotional Footprint Overview

+94 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Informatica Data Quality?

7% Negative

5% Neutral

88% Positive

Pros

Enables Productivity
Security Protects
Reliable
Unique Features

Feature Ratings

Average 82

Data Profiling

Data Integrity

Reporting Components

Geocoding

Data Matching

Data Enrichment

Data Source Connectivity

Usability

Data Monitoring and Administration

Data Cleansing

Record Management

Vendor Capability Ratings

Average 81

Vendor Support

Breadth of Features

Usability and Intuitiveness

Ease of Data Integration

Business Value Created

Ease of IT Administration

Quality of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Availability and Quality of Training

Ease of Customization

Informatica Data Quality Reviews

Role: Consultant
Industry: Consulting
Involvement: Business Leader or Manager

Validated Review

Anonymous Reviewer

Submitted Apr 2024

Amazing product! Go for it

Likeliness to Recommend

9 /10

Pros

Reliable
Performance Enhancing
Unique Features
Efficient Service

Vibha K.

Role: Information Technology
Industry: Banking
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Mar 2024

Enterprise product with one size fits all

Likeliness to Recommend

7 /10

What differentiates Informatica Data Quality from other similar products?

Advanced data quality rules engine and extensive connectivity and data profiling options have stood up for our banking customer in the middle east, Ofcourse, there could be features which stand out for other domains, but so far the tool has proven to be extensively scalable and customizable by different rules and laws.

What is your favorite aspect of this product?

It has been highly scalable. The platform offers scalability options to accommodate growing data volumes and processing requirements, ensuring optimal performance and reliability in enterprise-scale deployments. It just made our lives easy.

What do you dislike most about this product?

I won't say I dislike it but with cloud as a preferred adoption method for a lot of customers, there is a lot of comparison between the on Prem vs cloud version of this tool.

What recommendations would you give to someone considering this product?

You can go for it if you have a scalable enterprise level data, a good-sized data, or an unstructured data which you would like to refine, define, qualify, and make qualitative for AI adoption.

Pros

Efficient Service
Respectful
Altruistic
Security Protects

Role: Information Technology
Industry: Finance
Involvement: IT Development, Integration, and Administration

Validated Review

Anonymous Reviewer

Submitted Mar 2024

Informatica Data Quality

What is Informatica Data Quality?

Company Details

Need Assistance?

Awards & Recognition

2022 Data Quadrant Gold Medalist

Informatica Data Quality Ratings

87 Likeliness to Recommend

97 Plan to Renew

79 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love Informatica Data Quality?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

Data Integrity Includes data accuracy, data maintenance, and data verification and validation.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Data Matching Includes fuzzy matching, data comparison, and data merging.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Usability Includes business-oriented interface made available to business and technical users in a manner relevant to their role.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Informatica Data Quality Reviews

Amazing product! Go for it

Likeliness to Recommend

Pros

Vibha K.

Enterprise product with one size fits all

Likeliness to Recommend

Pros

Most popular ETL tool in big data technology

Likeliness to Recommend

Pros

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Feature Ratings

Data Profiling

Data Integrity

Reporting Components

Geocoding

Data Matching

Data Enrichment

Data Source Connectivity

Usability

Data Monitoring and Administration

Data Cleansing

Record Management

Vendor Capability Ratings

Vendor Support

Breadth of Features

Usability and Intuitiveness

Ease of Data Integration

Business Value Created

Ease of IT Administration

Quality of Features

Product Strategy and Rate of Improvement

Ease of Implementation

Availability and Quality of Training

Ease of Customization