Informatica LLC

Informatica Data Quality

Composite Score

8.1 /10

CX Score

8.4 /10

37 Reviews Write a Review

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What is Informatica Data Quality?

Informatica Data Quality empowers your company to take a holistic approach to managing data quality across your entire organization. With Informatica Data Quality, you’ll be able to ensure success of your data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.

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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

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.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

87 Likeliness to Recommend

98 Plan to Renew

80 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+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

8% Neutral

85% Positive

Pros

Reliable
Unique Features
Security Protects
Helps Innovate

Feature Ratings

Average 81

Data Profiling

Data Matching

Data Integrity

Data Enrichment

Reporting Components

Data Source Connectivity

Record Deduplication

Usability

Data Cleansing

Record Management

Geocoding

Vendor Capability Ratings

Average 81

Vendor Support

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Quality of Features

Business Value Created

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Ease of Customization

Informatica Data Quality Reviews

Aman G.

Role: Information Technology
Industry: Finance
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Dec 2024

Fantastic Product

Likeliness to Recommend

8 /10

What differentiates Informatica Data Quality from other similar products?

It provides all in one place data management features you can modify clean and make reports easily using this tools

What is your favorite aspect of this product?

ETL for manipulation of data

What do you dislike most about this product?

Nothing all good because it meets my requirements

What recommendations would you give to someone considering this product?

Am zing tool for data management

Pros

Helps Innovate
Reliable
Performance Enhancing
Enables Productivity

Ayush S.

Role: Consultant
Industry: Healthcare
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Sep 2024

"Powerful Data Quality Tool"

Likeliness to Recommend

9 /10

What differentiates Informatica Data Quality from other similar products?

Informatica Data Quality stands out for its robust data profiling, cleansing, and enrichment capabilities, seamless integration with Informatica MDM, and support for multi-domain data quality management, ensuring accurate, consistent, and trusted data across the enterprise.

What is your favorite aspect of this product?

One of my favorite aspects of Informatica Data Quality is its comprehensive data profiling and automated data cleansing capabilities. These features streamline the process of ensuring high data accuracy and consistency, which is critical for effective decision-making.

What do you dislike most about this product?

One of the challenges with Informatica Data Quality is its steep learning curve, especially for new users. The complexity of setting up and configuring data quality rules can require significant time and expertise to master fully.

What recommendations would you give to someone considering this product?

I recommend ensuring a strong understanding of data governance and the specific data quality needs of your organization. Invest in proper training for your team and consider leveraging Informatica’s support resources to maximize the tool's capabilities. Additionally, plan for sufficient time to configure data quality rules and workflows effectively.

Pros

Reliable
Unique Features
Effective Service
Inspires Innovation

Stephen M.

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

Validated Review

Verified Reviewer

Submitted May 2024

Leading DQ tool.. Overall a great product.

Likeliness to Recommend

9 /10

What differentiates Informatica Data Quality from other similar products?

Usage pay model is quote distinct.

What is your favorite aspect of this product?

The breadth of reporting and accuracy of the profiling.

What do you dislike most about this product?

Can be difficult to begin to integrate directly into business models however once done the tool works excellent.

What recommendations would you give to someone considering this product?

Great product with a fantastic usage pricing model.

Pros

Enables Productivity
Saves Time
Helps Innovate
Continually Improving Product

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

98 Plan to Renew

80 Satisfaction of Cost Relative to Value

1 Since last award

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

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

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

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

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

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

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

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.

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

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.

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

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.

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.

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.

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

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

Aman G.

Fantastic Product

Likeliness to Recommend

Pros

Ayush S.

"Powerful Data Quality Tool"

Likeliness to Recommend

Pros

Stephen M.

Leading DQ tool.. Overall a great product.

Likeliness to Recommend

Pros

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1
Since last award

Feature Ratings

Data Profiling

Data Matching

Data Integrity

Data Enrichment

Reporting Components

Data Source Connectivity

Record Deduplication

Usability

Data Cleansing

Record Management

Geocoding

Vendor Capability Ratings

Vendor Support

Breadth of Features

Ease of Data Integration

Usability and Intuitiveness

Quality of Features

Business Value Created

Product Strategy and Rate of Improvement

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Ease of Customization