If you are an Informatica shop, there is no need to think twice to opt for an Informatica-based Data Management product suit.

I rate Informatica Enterprise Data Catalog nine out of 10. It's a great solution, and I was happy with it. It did everything I wanted, and Informatica dramatically increased the integration points over time. When we started, it was like Oracle and SQL Server, but now they're adding NoSQL databases and others.

Informatica has user groups and listens to user input. One of the people that worked for me hosts an annual Informatica user group in Houston. You can try to build your own Oracle-based or SQL-based solution. They listened to the market, and they're working on improving the interoperability. Maybe it works better with Palantir since I left, but they work across all platforms. They're making it Cloud-based. I didn't know anything about them before I got here. I was dropped into a department where Informatica had been for at least five or six years, and it was a good choice.

I recommend this solution to others. There is a large market in China for Informatica Enterprise Data Catalog.

I rate Informatica Enterprise Data Catalog a seven out of ten.

My advice to other people who want to implement Informatica Enterprise Data Catalog is that they need to be sure that it can deliver the expectations they have about the data catalog, because after our implementation, we weren't able to use it a lot.

I'm rating Informatica Enterprise Data Catalog seven out of ten.

I would rate it an eight out of ten.

Our data management processes primarily use Informatica to connect to data sources, scan metadata to obtain physical data and perform data classification. Subsequently, we create business terms to establish a business glossary repository within the platform.

The features that have been most effective in improving our data governance include auto-classification and the ease of exploration and navigation within the tool. It can automatically connect or associate business terms with various options, providing flexibility beyond general capabilities.

The AI-driven discovery capability has significantly enhanced our data cataloging processes. Utilizing AI for auto-classification and discovery has been particularly beneficial. However, there is room for improvement in certain areas for understanding the data.

It has adapted well to changes in our data landscape, seamlessly accommodating new types of data sources. It offers flexibility in adding new data sources and supporting multiple data connectors.

Looking ahead to the future of Informatica Data Catalog, data lineage will be a significant trend influencing the product. These features are currently available, but there is potential for further enhancement and detail. It will enable organizations to comprehensively understand their data and its relationships with business processes and regulatory requirements.

I highly recommend it to others and rate it a nine out of ten.

If a customer or business wants to easily maintain their data domains, they can opt for Informatica Enterprise Data Catalog.

I rate the overall product an eight to nine out of ten.

I rate the solution an eight out of ten.

I'm not an experienced user of it. I used it in workshops, and I use other Informatica products, so I have some relevant knowledge.

I deal with the latest version of the solution. 

I'd rate the product nine out of ten and can recommend it to others to use. 

We decided to stop the project because it was too much effort and we couldn't benefit from the solution. We saw that it required a lot of effort just to make it work, so we decided to stop the implementation. We stopped using the solution about two months ago.

If other companies attempt to implement this solution, I would suggest that they try to stick to the features which are there and don't try to extend it because it is not that extendable.

In our case, we needed to get a better contract with the local integrator and make sure that they got paid only upon successful completion of the project. Instead, we paid upfront. I'd advise other companies not to make that same mistake. 

I'd rate the solution five out of ten.

I advise others to understand their business use cases. I rate Informatica Enterprise Data Catalog a three out of ten.

I would recommend that rather than implementing it on a complete whole enterprise project, start with some small system or a small project first. And from there on, you can move on one step at a time.

I would rate the product an eight out of ten.

The product requires more polishing and hardening. It might take few more releases until the full power and capabilities of this product are unleashed.