What advice do you have for others considering Informatica Data Quality?

I have worked with Informatica Data Quality up to version 10.4, around 2020, about two or three years ago. During that time, there was a code bug at the driver level when connecting to hardware. When attempting to profile data, the system would crash. We had to collaborate with engineers from Informatica to fix the bug, which was eventually resolved in the 10.5.1 release. Informatica Data Quality has its client tool. You can build your code on your laptop and then upload it to the database metadata. However, for some parts of the development, you might need to log into the server to complete the tasks. Informatica Data Quality can build dashboards and integrate with reporting tools like Tableau and Power BI. It also supports integration with tools like Microsoft, Cognos Business Intelligence, and SAP Crystal Reports. This flexibility is a crucial feature of Informatica. As for SaaS, Informatica does offer SaaS options. Additionally, it can interface with statistical software like SAS, allowing users to build code in SAS and then import it into Informatica. This simplifies the process and eliminates the need for manual coding. If you remove the PowerCenter tools, the next closest competitor would be IBM's InfoSphere DataStage. Additionally, there are free, not free, and less expensive community editions of various tools. For instance, Talend offers an open-source ETL tool, while Pentaho has a miniature business version of ETL. Microsoft itself provides ETL tools like SSIS and reporting tools. Data quality is not necessarily tied to any vendor—data is data, and various tools can manage anything that flows in. Overall, I rate the solution a seven out of ten.

Overall, I would rate the solution a nine out of ten. I would recommend it due to the consistency of vision and very good integration between different products of Informatica. It offers wide coverage, the widest coverage of technologies from the major players.

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.