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Users of Informatica Data Quality, or IDQ, have found the software to be highly effective in addressing various data quality challenges. …
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…
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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
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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…
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- No setup fee
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- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Demos
Informatica IDQ Training for Beginner | Informatica Data Quality Tutorial
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Informatica Data Quality Training Demo Video | Informatica Data Quality Tutorial
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How to Join Profile in Informatica Data Quality?
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Informatica Data Quality online training | Informatica Data Quality Training Demo
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#Informatica #Union #Transformation Training Session - Part 16 || Free Course
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What is Informatica Cloud Data Quality?
Informatica Cloud Data Quality Video
Big Data Demands Big Data Quality
Informatica Cloud Data Quality Competitors
Informatica Cloud Data Quality Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Ataccama ONE are common alternatives for Informatica Cloud Data Quality.
Reviewers rate Data source connectivity highest, with a score of 9.3.
The most common users of Informatica Cloud Data Quality are from Enterprises (1,001+ employees).
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Reviews and Ratings
(40)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
- 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
(1-5 of 5)Companies can't remove reviews or game the system. Here's why
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.
- Data quality profile
- Automation of data quality check
- Exception management
- Customizable template to capture metadata
- 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
- Metadata / business glossary
- Data quality automation
- Data profiling
75%
7.5
- Overall DQ efficiency
- Easier to understand data before writing the ETL code for the developers
- Increased business user participation
SAP Master data governance, Microsoft products, and Collibra
No
- Product Features
- Product Usability
- Product Reputation
We would keep is consistent with our process.
- Data profiling
- Building data quality rules
- Data quality reporting
- Version control of metadata / business glossary
No
January 11, 2022
A very viable tool that helps to leverage the agility of the enterprise to make better decisions.
Provides simple, logical interfaces and connectors to eliminate the need for complex coding. Offers intelligent operations gnat ensure resilience, business continuity, and efficiency. Democratizes integrations by enabling self-service for nontechnical citizen integrators. Allows us to easily scale up or down to accommodate a variety of workloads without impacting performance. Secure everything effectively.
- 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.
- Cloud data integrations that drives results.
- Uses flexible and cost-effective options whether ELT pushdown, ETL, or spark.
- Viable in codeless advanced integration.
100%
10.0
- Allows us to easily scale up or down and only pay for what we use.
- Has Drag and drop prebuilt functions and templates to help us build data pipelines.
- Ingests data with high-performance ETL, mass ingestion, and change data capture.
Delivers measurable value to the entire organization by empowering teams with consistent and trusted data. Acts as a unified cloud-native service combined with capabilities across cataloging and governance use cases to ensure a cohesive business and technical experience. Automate manual tasks with AI to free up data stewards and give them more time to apply their expertise to mission-critical processes only.
December 25, 2021
Swift, Manageable, and Progressive App for Database Enhancement.
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.
- 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.
- 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.
96.66666666666666%
9.7
- 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.
Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.
December 14, 2021
A guru in providing AI driven insights.
[Informatica Data Quality] has reliable data quality powered by AI. Find and fix quality issues that mean the difference between business initiative success and failure with our leading industry data quality solution. Ability to manage the quality of multi-cloud and on-premises data for all use cases and workloads. Manage and transform data with data standardization, validation, enrichment, and consolidation capabilities.
- 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.
- De-dublication.
- Consolidation.
- Automating critical tasks .
100%
10.0
- Streamlined data discovery.
- Task automation.
- Exception management.
Has a suite of applications and components that we can integrate with Informatica Power center to deliver enterprise-strength data quality capabilities in a wide range of scenarios. Provides comprehensive and modular support for all data and all use cases whether in small or complex projects. Streamlined data discovery with a broad and deep lineup of enterprises.
December 09, 2021
IDQ-Good Tool
Score 9 out of 10
Vetted Review
Verified User
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.
- 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.
- 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.
- Address Doctor
- Cleansing transformations like labeller .
- Deduplication using match transformation
- Thin client version
76.66666666666667%
7.7
- ROI will be good when the product has used over a long period.