Metadata management is one of the key aspects of the product we really appreciate. 

The lineage is one of the important features as well. We felt the asset model is very good. 

We have tried implementing some of the out-of-the-box workflows of Collibra however, we have also used some customized workflows. Customized workflows in terms of data stewardship, assigning basic roles and responsibilities, for issue management, et cetera. They are very useful in setting up the proper governance. Previously, our metadata and repositories were scattered. Since using Collibra, they're all coming into a centralized location. 

Overall, it is a good tool, due to the fact that, with other tools, in some or other way they are lacking certain capabilities.

There are extract, transform, and load tools wherein you can track the data lineage. You can track technical lineage, though not exactly proper lineage. That said, Collibra is a good tool to track, everything starting from process to the attribute table column level. 

It is user-friendly. I could easily go into the Collibra UI and explore the key features.

The solution has very good online assistance. Collibra University is definitely a great help. There are all of these free resources wherein wherever you are stuck, you can go and check and come back and fix items.

What we have done is, we have internally set up a self-service process. We could set up a self-service process within Collibra wherein business stakeholders can come and they can onboard themselves on Collibra. My team specifically is just educating them and helping them following the best practices of Collibra asset model and community. We are setting up their roles and responsibilities, community managers, the manager stewardship, et cetera. We can set everything up so that users can come and onboard themselves.

The diagrams are good for data visualization. It is for technical and business terms. The technical lineage is for technical terms and data. Earlier, we used to maintain the data manually. Now, everything is automated. Sometimes, we still need to verify whether the lineage created automatically is correct or not because it might have a lot of information that is not needed. It is very easy to integrate Collibra Lineage with other tools. It provides APIs. It can be for any language like Java and Python. We can use the template provided in the marketplace.

The most valuable features of Collibra Lineage are the multiple options for automation. Additionally, if you have a scenario where automation does not work, you have the option to manually create the lineage. The solution does not force you to always go through an automated way where you have broken lineage and you are stuck without a lineage.

We can easily connect to sources. It is like plug-and-play.

It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful.

Any stakeholder in the company can see a very detailed visualization of the path of the data from the row to the report or the dataset to which machine learning was applied, for example.

We find the most valuable feature of this solution to be the lineage aspect.