#1 most frequent
United States of America
57.4%78 installations of 136
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 users, types, and scale, while also automating mission-critical tasks.
Categories & Use Cases
Product Demos
Top Performing Features
Data source connectivity
Ease of connection to multiple data sources
Category average: 8.3
Data profiling
Ability to find anomalies and hidden relationships between data elements
Category average: 8.3
Address verification
Data format checking and valid address checking
Category average: 8.6
Areas for Improvement
Master data management (MDM) integration
Quality of integration with MDM systems
Category average: 8.6
Match and merge
Ability to identify potential matches and then merge
Category average: 8.2
Data element standardization
Parsing and standardization of data elements according to predefined rules
Category average: 8.3
Who Buys & Uses Informatica Cloud Data Quality
#2 most frequent
India
6.6%9 installations of 136
#3 most frequent
Canada
5.9%8 installations of 136
Better data virtualization with Informatica Daas
Use Cases and Deployment Scope
It has great function that will aid using hybrid cloud for data storage possible. Customer support is very well. Data virtualization has made us achieved three major things one reduced expense, reduced risk as well as an improved revenue in total and we have a single access point to monitor the data
Pros
- Deliver excellent data virtualization
- Reducing expense, risk and increase revenue in total
- Single access point to monitor the data
Cons
- The product performance is satisfactory in overall
Most Important Features
- It makes it possible to integrate data from multiple disparage sources
- It is great tool to leverage if you want to create data virtualization layer for apps
Return on Investment
- Scalable flexible solutions driving data management in financial services
- pretty good integration tool but need to consider third party integrations
Swift, Manageable, and Progressive App for Database Enhancement.
Use Cases and Deployment Scope
Informatica Data Quality is a solution that pushes companies to take a vibrant step in managing data, enhancing and reinforcing security, and activating all the analytical demands in the business. Further, Informatica Data Quality focuses on data collaboration and standardization, a form that improves the quality and reliability of the database system. Finally, the whole validation and cleansing process is effectively supported by Informatica Data Quality, from address verification to content filtering.
Pros
- Perfect data collaboration and detailed standardization. The two procedures support universal acceptability.
- Further, the concerned address control and validation increase the accuracy, effectiveness, and reliability of the database.
- Finally, Informatica Data Quality has an outstanding cleanser, very rapid, robust, and speedy.
Cons
- Data reviewing is not fully encompassed by Informatica Data Quality, which would validate the database.
- Besides, third party applications face challenges, due to poor integration support.
- Nonetheless, there are proficient, reliable, and contained safety and analytical measures.
Most Important Features
- Efficient collaborative application, with the standardization procedures.
- Further, suitable and appropriate cleansing solution, for maximum satisfaction.
- More so, Informatica Data Quality generates proper analytical reports, which are authentic and fundamental in streamlining decisions.
Return on Investment
- Enhanced master data management allows complex details to be easily analyzed without the system getting to breakdown.
- Further, Informatica Data Quality has proper validation, cleansing, and safety measures, that keep our database secure and accurate.
- Finally, Informatica Data Quality facilitates predictive analytics, very affirmative for demand budgeting.
Alternatives Considered
Oracle Autonomous Database and SAP Data Quality Management
Other Software Used
Column Information Security, CloudApper Safety, BarCloud Stock
IDQ-Good Tool
Use Cases and Deployment Scope
IDQ is used for data cleansing and address validation. Passing Invalid Addresses and getting output as valid address and using these address to send mail to employees. Data cleansing rules while loading data from source to warehouse.
Pros
- Address Validator Transformation - makes things so easy.
- The algorithm for address validation to would take years to write.
- Address doctor standalone application is powerful and can use any ui for performance improvements.
- Geocoding of Address doctor is so useful.
Cons
- It would be great if it could merge with PC Designer.
- This tool will be used in the front end systems -where addresses can be visible to the users.
- If address doctor improve like google api for lat n longs when we pass input attributes ang combinations.
Most Important Features
- Address Doctor
- Cleansing transformations like labeller .
- Deduplication using match transformation
- Thin client version
Return on Investment
- ROI will be good when the product has used over a long period.
Other Software Used
Informatica MDM
Informatica Data Quality review
Pros
- It performs quality Data Profiling operations.
- A web-based data quality check (without the need for any client tool installation).
- Seamless integration with other Informatica products.
- Ease of use (2 days of training for profiling, 4 days for intermediate development, and 4 days for advanced development skills).
Cons
- A hardware monster.
- Needs easier security.
- Could provide easier administration.
- Needs easier installation steps.
Return on Investment
- We already had the licenses of the product with the Informatica Data Integration family.
- Installation steps could be simplified.
- It would be better if the product had fewer hardware needs.
Alternatives Considered
Oracle Enterprise Data Quality and SAS DataFlux
Other Software Used
Oracle Enterprise Data Quality, SAS DataFlux
Informatica IDQ leads the way with Data Quality automation
Use Cases and Deployment Scope
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.
Pros
- Data quality profile
- Automation of data quality check
- Exception management
- Customizable template to capture metadata
Cons
- 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
Most Important Features
- Metadata / business glossary
- Data quality automation
- Data profiling
Return on Investment
- Overall DQ efficiency
- Easier to understand data before writing the ETL code for the developers
- Increased business user participation
Other Software Used
Microsoft Azure
