The rule-based strategies feature in Informatica Data Quality has greatly benefited our data quality initiatives. With predefined rules in place, it provides a solid framework for assessing data quality. While data quality ultimately depends on source system updates, these rules give valuable insights and are heavily used alongside automatic profiling for effective data management. Informatica Data Quality works within our IT setup for analyzing and reporting on data quality. It doesn't directly integrate with other tools, but it gives us clear insights. Data flows from sources to Informatica for analysis, and then to data stewards for updates, but there is no integration back to the original applications yet. Navigating between modules within Informatica isn't always seamless. For instance, actions in the catalog might not be visible in the data marketplace. Overall, I would rate Informatica Data Quality as an eight out of ten.
Data Quality Consultant at a financial services firm with 1,001-5,000 employees
Consultant
Top 20
2023-10-03T10:04:55Z
Oct 3, 2023
If it has been implemented effectively, I would say it is the best solution. When considering the use of the data governance package, combining Axon ADC and Informatica Data Quality together provides a comprehensive approach. I would rate it eight out of ten.
Data Architect & Senior ETL Developer at CloudBC Labs
Real User
Top 20
2023-08-14T13:47:04Z
Aug 14, 2023
Overall, I would rate the solution a seven out of ten. The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality."
Manager at a financial services firm with 5,001-10,000 employees
Real User
Top 20
2023-04-14T09:04:11Z
Apr 14, 2023
I give the solution a ten out of ten. We have a two-person admin team that takes care of the maintenance. I would recommend Informatica Data Quality as it has been consistently identified by Gartner as one of the leading solutions in the market.
Technology Lead at a computer software company with 5,001-10,000 employees
Real User
Top 20
2022-11-10T14:21:56Z
Nov 10, 2022
I would continue to encourage the upgrades that are taking place every other one in order to release the new and relevant features. I would rate Informatica Data Quality an eight out of ten.
Informatica Developer at a government with 1,001-5,000 employees
Real User
Top 20
2022-09-27T19:37:55Z
Sep 27, 2022
We are moving to the cloud version. On-premises, we were on version 10.4.2, and that moved to 10.5. Soon, we will be on the cloud. We're using IDMC, which is not just Data Quality. It has governance, Axon, and other applications in it. We're just a customer. I'd advise people to research use cases before beginning. Companies need to understand what they are trying to achieve, figure out their requirements, and then appraise the solution. While Informatica is good in terms of Data Quality and is probably the leading option, you need to be clear about budget, et cetera. I would rate the solution seven out of ten.
Senior Architect at a computer software company with 10,001+ employees
Real User
2021-01-27T12:09:58Z
Jan 27, 2021
I would absolutely recommend this solution to others. If you can afford it, then go for it. If it's out of your price range, then I would recommend considering an open-source solution. overall, on a scale from one to ten, I would give this solution a rating of eight.
Architect at a tech services company with 501-1,000 employees
Real User
2020-11-04T08:26:55Z
Nov 4, 2020
The cost of the product is high, but feature wise, it provides a whole lot of features that can easily solve your problems. I would recommend this product. I would rate this solution an eight out of 10.
Head of Mass Data Manager at a tech services company with 10,001+ employees
Real User
Top 20
2019-10-06T16:38:00Z
Oct 6, 2019
The suitability of this solution depends on your environment. If you need large scale data quality and rely heavily on different connections to ge the data, then you really need a good powerhouse and this is the best. But, for example, if you already have SAP in your organization then you may not need IDQ on top of it. There are different factors to consider. This is a good solution, but I can't say that you can solve all of the problems using it. Informatica is focusing only on master data quality. In this regard, there is room for improvement, but it depends upon the use case. I would rate this solution an eight out of ten.
Data Quality Manager at a financial services firm with 10,001+ employees
Real User
2019-08-01T05:43:00Z
Aug 1, 2019
I would advise others to go for it because I love it. Maybe there are better tools, but I don't know about them. I would use it in conjunction with Tableau and Google Analytics for visualization. I would also suggest others to follow instructions during the initial setup and not to cut corners. Do the configuration exactly as Informatica suggests. I love Informatica but I am not sure if it is value for money. Organizations that plan to increase their users may find it worth the money, but smaller organizations may want to use something simpler. I will rate this solution an eight out of ten. My rating would have been nine if the solution offered tagging and if it was cheaper.
Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.
The rule-based strategies feature in Informatica Data Quality has greatly benefited our data quality initiatives. With predefined rules in place, it provides a solid framework for assessing data quality. While data quality ultimately depends on source system updates, these rules give valuable insights and are heavily used alongside automatic profiling for effective data management. Informatica Data Quality works within our IT setup for analyzing and reporting on data quality. It doesn't directly integrate with other tools, but it gives us clear insights. Data flows from sources to Informatica for analysis, and then to data stewards for updates, but there is no integration back to the original applications yet. Navigating between modules within Informatica isn't always seamless. For instance, actions in the catalog might not be visible in the data marketplace. Overall, I would rate Informatica Data Quality as an eight out of ten.
If it has been implemented effectively, I would say it is the best solution. When considering the use of the data governance package, combining Axon ADC and Informatica Data Quality together provides a comprehensive approach. I would rate it eight out of ten.
Overall, I would rate the solution a seven out of ten. The solution gives us the visual features on how the quality is because back in few years or back some time ago. So it was, like, always a kind of hidden thing because, as a part of the data governance, we do have a lot of data dumped in the data warehouse. But relaying we have been just relying on the data warehouse. So we didn't know, like, it is really giving us the powerful insight, or it is really giving our quality data because it could be junk or anything. So, in that case, at least this solution definitely gives us the strength with the visualization part, which gives us, "Okay, these are the different types of data it exists and data. These are the different qualities where it can improve the quality."
I give the solution a ten out of ten. We have a two-person admin team that takes care of the maintenance. I would recommend Informatica Data Quality as it has been consistently identified by Gartner as one of the leading solutions in the market.
I would continue to encourage the upgrades that are taking place every other one in order to release the new and relevant features. I would rate Informatica Data Quality an eight out of ten.
We are moving to the cloud version. On-premises, we were on version 10.4.2, and that moved to 10.5. Soon, we will be on the cloud. We're using IDMC, which is not just Data Quality. It has governance, Axon, and other applications in it. We're just a customer. I'd advise people to research use cases before beginning. Companies need to understand what they are trying to achieve, figure out their requirements, and then appraise the solution. While Informatica is good in terms of Data Quality and is probably the leading option, you need to be clear about budget, et cetera. I would rate the solution seven out of ten.
I would rate it a six out of ten.
I would recommend this solution. We have a long term license, and we plan to keep using it. I would rate Informatica Data Quality a seven out of ten.
I would rate this solution a seven out of 10.
I would absolutely recommend this solution to others. If you can afford it, then go for it. If it's out of your price range, then I would recommend considering an open-source solution. overall, on a scale from one to ten, I would give this solution a rating of eight.
The cost of the product is high, but feature wise, it provides a whole lot of features that can easily solve your problems. I would recommend this product. I would rate this solution an eight out of 10.
The suitability of this solution depends on your environment. If you need large scale data quality and rely heavily on different connections to ge the data, then you really need a good powerhouse and this is the best. But, for example, if you already have SAP in your organization then you may not need IDQ on top of it. There are different factors to consider. This is a good solution, but I can't say that you can solve all of the problems using it. Informatica is focusing only on master data quality. In this regard, there is room for improvement, but it depends upon the use case. I would rate this solution an eight out of ten.
I would advise others to go for it because I love it. Maybe there are better tools, but I don't know about them. I would use it in conjunction with Tableau and Google Analytics for visualization. I would also suggest others to follow instructions during the initial setup and not to cut corners. Do the configuration exactly as Informatica suggests. I love Informatica but I am not sure if it is value for money. Organizations that plan to increase their users may find it worth the money, but smaller organizations may want to use something simpler. I will rate this solution an eight out of ten. My rating would have been nine if the solution offered tagging and if it was cheaper.