If people cannot do discovery on their own, then you will be adding a lot of resource power, i.e., manpower, to support the business usage of the data. A lot of money is saved because we can run a very lean shop and don't have to onboard a lot of resources. This saves a lot on manpower costs as well.

We used data profiling in erwin DI, which saves time when it comes to data discovery and understanding the entire organization’s data. I would give it a high rating because it did it faster than some other tools that we've used.

The solution helps us save time and understand our data better. For example, you can search for keywords or discover assets by classification, feedback, and rating. You can sort assets by the highest or lowest rating. It has reduced the time spent on these tasks by about 20 percent.

The solution saves us time and reduces the number of bugs by automatically generating software, rather than manually creating it.

Data Intelligence saves time on data discovery and helps us understand our data through standardization. It helps us connect to data services and simplifies the process. That's one of the significant benefits of using the Data Intelligence suite. It's difficult to estimate how much time it saves us. In the early stages of a project, we need to spend a lot of time on integration. Data Intelligence simplifies and standardizes the mapping. It's hard to say how much because I would need to compare the time spent manually generating the metrics in Excel versus doing it in Data Intelligence.

This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off.