This content is currently locked.

Your current Info-Tech Research Group subscription does not include access to this content. Contact your account representative to gain access to Premium SoftwareReviews.

Contact Your Representative

Or Call Us:
1-888-670-8889 (US/CAN) or
+1-519-432-3550 (International)

Informatica LLC

Informatica Data Quality

Composite Score

8.1 /10

CX Score

8.4 /10

37 Reviews Write a Review

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.

Company Details

Need Assistance?

We're here to help you with understanding our reports and the data inside to help you make decisions.

Get Assistance

Awards & Recognition

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

Filter By

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

{y}

{name}

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

Rajat R.

Role: Finance
Industry: Engineering
Involvement: Vendor Selection and Purchasing

Validated Review

Verified Reviewer

Submitted Feb 2021

Easy to use, but a bit pricey

Likeliness to Recommend

10 /10

What differentiates Informatica Data Quality from other similar products?

Enterprise and proven technology

What is your favorite aspect of this product?

Stable product since decades

What do you dislike most about this product?

Integrity with any sources

What recommendations would you give to someone considering this product?

Go for it for sure since its a valuable enterprise product

Pros

Saves Time
Helps Innovate
Trustworthy
Inspires Innovation

Latest Research

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

Rajat R.

Easy to use, but a bit pricey

Likeliness to Recommend

Pros

Most Popular Informatica Data Quality Comparisons

Oracle Enterprise Data Quality

Talend Data Quality

Melissa Data Quality Suite

SAS Data Quality

PiLog Data Quality Management

IBM InfoSphere QualityStage

Title

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