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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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- 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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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
(1-7 of 7)Companies can't remove reviews or game the system. Here's why
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.
April 12, 2019
Informatica Data Quality review
Informatica Data Quality is a tool that supports business users (non-technical) and developers(technical) in an equal way. It can be enhanced through the customization of rules and policies, and supports seamless integration with Informatica Power Center, with the help of Informatica Data Quality Mapplets. These mapplets can be imported to Informatica Power Center, and can be used within the Data Integration Process.
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.
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.
July 08, 2015
Ínformatica data quality
Score 10 out of 10
Vetted Review
Verified User
Customer creation process - using web services for matching and address cleansing. Managing exception record management for both bad and duplicate record management. Currently using across the organization for scorecarding to cover DQ problems.
- 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
April 11, 2014
Informatica Data Quality
Score 9 out of 10
Vetted Review
Verified User
Informatica is used to integrate to various applications like Salesforce, SAP etc. with Oracle and SQL databases. It's used by various departments across the Americas. It helps to optimize the data for various reporting tools.
- 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.
March 07, 2014
Power of IDQ
Score 8 out of 10
Vetted Review
Verified User
IDQ is being used across our organization. Specifically, we use IDQ for contact and address validation. As part of the sales and marketing domain, we need to enrich data for better campaigns. IDQ is a key player in accomplishing this process for us. We are using the Address Doctor engine for our standardization. Address Doctor standardizes contacts and addresses.
- 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
March 06, 2014
IDQ -the best cleanser!
Score 8 out of 10
Vetted Review
Verified User
IDQ is used by a department at my organisation to ensure and enhance the data quality. We started with address standardization and now it had been brought to 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 was affecting sales projections and estimates.
- 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
March 01, 2014
Quality at its best - Faster and economical
IDQ is used by a department at my organisation to ensure and enhance the data quality.
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.
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