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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Real user data aggregated to summarize the product performance and customer experience.
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87 Likeliness to Recommend
97 Plan to Renew
79 Satisfaction of Cost Relative to Value
Emotional Footprint Overview
+93 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?
Pros
- Enables Productivity
- Security Protects
- Reliable
- Unique Features
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Profiling
Data Integrity
Reporting Components
Data Matching
Data Enrichment
Data Source Connectivity
Geocoding
Usability
Data Cleansing
Record Deduplication
Record Management
Vendor Capability Ratings
Vendor Support
Breadth of Features
Usability and Intuitiveness
Ease of Data Integration
Quality of Features
Business Value Created
Ease of IT Administration
Product Strategy and Rate of Improvement
Ease of Implementation
Availability and Quality of Training
Ease of Customization
Informatica Data Quality Reviews
Stephen M.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Development, Integration, and Administration
Submitted May 2024
Leading DQ tool.. Overall a great product.
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
- Role: Consultant
- Industry: Consulting
- Involvement: Business Leader or Manager
Submitted Apr 2024
Amazing product! Go for it
Likeliness to Recommend
Pros
- Reliable
- Performance Enhancing
- Unique Features
- Efficient Service
Please tell us why you think this review should be flagged.
Vibha K.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Development, Integration, and Administration
Submitted Mar 2024
Enterprise product with one size fits all
Likeliness to Recommend
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
Please tell us why you think this review should be flagged.
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