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
(1-12 of 12)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.
Swift, Manageable, and Progressive App for Database Enhancement.
- 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.
- 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.
A guru in providing AI driven insights.
- Has rich set of transformation.
- Reusable rules and accelerators.
- Exception management.
- It allows business users to review, correct and approve exceptional throughout the automation process.
- Apply rebuilt business rules and accelerators and reuse common data quality rules to save time and resources.
- Discover,search and profiling.
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.
IDQ - Simple yet effective
- Correcting error prone manual data entry across the organization, correcting formulas, rules and methods. Understanding the data properly first to begin with. Improving and approving the accuracy overall.
- Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports.
- IDQ decreased the capital on Production support and QA time especially.
- I did not spend any time researching the tool for improvements, but the interface with Power Center will me more interactive and connected to the developers.
My experience is with Data Transformation and i believe it is very critical. IDQ have / has abilities to standardize the required formats and elements to include, integrate and enhance conformity.
how can the value be added retaining integrity.
Improves Parent Child relationships and Reduces Orphans scenarios. The relative information is always available and validated.
How the data can be transformed or processed for multiple areas with END to END consistency.
Typically it depends on the Data Sources, But end to end consictensy in any ETL can very well be enhanced with multiple functionalities and transformations from IDQ.
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.
IDQ-Quality enhancer
- 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.
- Character Set Mapping
- Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports
- I think its high time Informatica integrated all tools like PowerCenter, IDQ, IDE , powerexhange into one which will simplify development and maintenance
IDQ cheap and popular!
- Address Doctor: Automatically suggests and corrects the customer address based on the globals address database. Thus ensuring the correct physical address of the customer
- IDQ can be merged with Powercenter very fast and adequately
- IDQ needs some more integration with other ETL tools and databases like Ab nitio, Cognos and Oracle
IDQ Review
By using IDQ, it greatly reduced the time and effort to perform the above mentioned items.
- The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
- The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
- The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
- I wish some of the functionality was combined with PowerCenter, especially being able to create workflows, etc. and schdeuling them.
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