Overview
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…
Informatica IDQ leads the way with Data Quality automation
A very viable tool that helps to leverage the agility of the enterprise to make better decisions.
Swift, Manageable, and Progressive App for Database Enhancement.
A guru in providing AI driven insights.
IDQ-Good Tool
Informatica Data Quality review
Ínformatica data quality
Informatica Data Quality - Know Your Customer
Best Product!
IDQ - Simple yet effective
Informatica Data Quality
IDQ-Quality enhancer
IDQ cheap and popular!
IDQ Review
Power of IDQ
Awards
Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards
Popular Features
- Data source connectivity (6)9.393%
- Data profiling (6)9.292%
- Master data management (MDM) integration (6)8.989%
- Data element standardization (6)8.282%
Pricing
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…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Informatica IDQ Training for Beginner | Informatica Data Quality Tutorial
Informatica Data Quality Training Demo Video | Informatica Data Quality Tutorial
How to Join Profile in Informatica Data Quality?
Informatica Data Quality online training | Informatica Data Quality Training Demo
#Informatica #Union #Transformation Training Session - Part 16 || Free Course
Features
Data Quality
Data quality tools are designed to ensure that business data is as reliable as possible so that it can provide a solid basis for effective decision-making
- 9.3Data source connectivity(6) Ratings
Ease of connection to multiple data sources
- 9.2Data profiling(6) Ratings
Ability to find anomalies and hidden relationships between data elements
- 8.9Master data management (MDM) integration(6) Ratings
Quality of integration with MDM systems
- 8.2Data element standardization(6) Ratings
Parsing and standardization of data elements according to predefined rules
- 8.7Match and merge(6) Ratings
Ability to identify potential matches and then merge
- 9Address verification(6) Ratings
Data format checking and valid address checking
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Informatica Cloud Data Quality?
Informatica Cloud Data Quality Video
Informatica Cloud Data Quality Competitors
Informatica Cloud Data Quality Technical Details
Operating Systems | Unspecified |
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Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(40)Community Insights
- Business Problems Solved
Users of Informatica Data Quality, or IDQ, have found the software to be highly effective in addressing various data quality challenges. One key use case is the validation of customer and vendor addresses, ensuring that there are no duplicates and verifying consistency in product descriptions. With simple and logical interfaces, IDQ eliminates the need for complex coding, making it accessible even to nontechnical citizen integrators. This democratization of integrations enables self-service capabilities and empowers users to easily scale up or down to accommodate different workloads without impacting performance.
Another important use case is the tool's support for data validation and cleansing processes. From address verification to content filtering, IDQ offers reliable data quality powered by AI. This allows users to identify and resolve quality issues that can potentially impact business initiatives. The software caters to both business users and developers, providing customization options and seamless integration with Informatica Power Center. Users can gain insights into their data by performing data profiling within the tool. This helps them make informed decisions before executing data quality operations.
IDQ has been extensively used across organizations for contact and address validation, enriching data to drive more effective campaigns. It has proven instrumental in resolving issues related to duplicate customers and products, resulting in improved sales projections and estimates. Users have relied on IDQ to address data inconsistencies, foreign character problems, as well as formatting and formula issues. The software also facilitates standardization of customer addresses, identification of duplicate records, and optimization of data for reporting tools.
Furthermore, IDQ seamlessly integrates with various applications such as Salesforce and SAP. This enables smooth handling of large volumes of records. Its capabilities extend beyond data validation; users leverage IDQ to update customer data with accurate details while identifying duplicate customers. Moreover, it serves as a comprehensive solution for monitoring overall data quality organization-wide, ensuring compliance with data quality standards. By automating technical and business data quality checks across multiple sources, users gain enhanced trust in their data and make more informed, data-driven business decisions.
Attribute Ratings
Reviews
(1-7 of 7)A very viable tool that helps to leverage the agility of the enterprise to make better decisions.
- Scales elastically.
- Effectively monitor and manage integration.
- Lets you build intelligent processes.
- Quickly connect our lines of business, customers, and partners to any app, any process and at any speed with Intelligent APIs.
- Covers a broad set of use cases and patterns including real-time integration process orchestration and API management.
- Orchestrates our business by integrating processes, data, and applications for real-time automation and data flows.
Informatica Data Quality review
Data profiling can also be made within the tool, and profiling results give you insight into the data that you are about to use to perform a data quality operation.
However, the more data you profile, the more memory and CPU it needs.
- 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).
- A hardware monster.
- Needs easier security.
- Could provide easier administration.
- Needs easier installation steps.
At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.
Ínformatica data quality
- It's a great tool for profiling and score carding and cleansing bad data
- Matching, standardization, address doctor, exception record management
- Data services, web services, entity discovery, show lineage
- Scorecard export functionality for bad records - and it only displays the first 100 records
- There are no filtering conditions on scorecarding
- In IDD we cannot import bad record tables or duplicate records table as we did it in 9.1
- Profiling results should be displayed in charting mode, as with other tools
Informatica Data Quality
- Fact & multi-dimensional loading
- Tracking Changes in slowly changing dimensions
- Integration of data from SAP and Salesforce is better with this ETL tool compared to other tools in the market
- Modularity
- Several partnerships diminishing the value of technologies
- Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
- Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
Power of IDQ
- IDQ'S Delivery Point validation is very powerful and many competitive tools don't provide this
- IDQ supports WGS 84 geocoding standards
- IDQ validate addresses up to to a very high degree of accuracy
- IDQ doesn't support heavy duty data integration
IDQ -the best cleanser!
- Better compatibility with PowerCenter. This way you can do mix- match with existing mapping rules in ETL and also value add with quality check and exception reporting
- Address Doctor - Optimize the accuracy of your company's global address data by using the only software with all five postal certifications in one engine. It parses, cleanses, and standardizes it, then appends accurate geocodes and consumer segmentation codes for specific countries
- Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
- I think its high time Informatica integrated all tools like PowerCenter, IDQ, IDE, powerexhange into one package will simplify development and maintenance
Quality at its best - Faster and economical
The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
- Address Doctor-Optimize the accuracy of your company's global address data by using the only software with all five postal certifications in one engine. It parses, cleanses, and standardizes it, then appends accurate geocodes and consumer segmentation codes for specific countries
- Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
- Better compatibility with powercenter. This way you can do mix- match with existing mapping rules in ETL and also value add with quality check and exception reporting
- Character Set Mapping
- I think its high time Informatica must integrate all tools like powercenter, IDQ, IDE , powerexhange into one which will simplify development and maintenance