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erwin Data Intelligence (DI) for Data Governance Room for Improvement

Data Architect at NAMM

There is room for improvement in automation, no question. 

Also, the fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there. 

But regarding the data governance tool itself, for me there was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome. I had one guy make an error and it costs us a few days because it had an impact on a whole slew of options and objects because he didn't know what he was doing. That was not their fault; it was purely my fault, allowing that to happen. For me, that was a struggle.

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Architecture Sr. Manager, Data Design & Metadata Mgmt at a insurance company with 10,001+ employees

The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested.

erwin has been a fantastic partner with regard to our suggestions for enhancements, and that's why I'm having difficulty thinking of areas for improvement of the solution. They are delivering enhancements that we've requested in every release.

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General Manager - Digital & Analytics Practice at HCL Technologies

I would like to see a lot more AI infusion into all the various areas of the solution. 

Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier. 

Overall, automation for associating business terms to data items, and having automatic relationship discovery, can be improved in the upcoming releases. But I'm sure that erwin is innovating a lot.

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Learn what your peers think about erwin Data Intelligence (DI) for Data Governance. Get advice and tips from experienced pros sharing their opinions. Updated: December 2021.
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Business Intelligence BA at a insurance company with 10,001+ employees

Improvement is required for the AIMatch feature, which is supposed to help automatically discover relationships in data. It is a feature that is in its infancy and I have not used it more than a few times.

There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool. The reason we need this functionality is that we don't use the modeling tool that erwin has. Instead, we use a tool called Power Viewer. Both erwin and Power View can create XSD files but you cannot import a file created by Power Viewer into erwin. If they were more compatible with Power Viewer and other data modeling solutions, it would be a plus. As it is now, if we have a data model exported into XSD format from Power Viewer, it's really hard or next to impossible to import into DI.

We have a lot of projects and a large number of users, and one feature that is missing is being able to assign users to groups. For example, it would be nice to have IDs such that all of the users from finance have the same one. This would make it much easier to manage the accounts.

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Sr. Manager, Data Governance at a insurance company with 501-1,000 employees

It does have some customization, but it is not quite as robust as erwin DM. It's not like everything can have as many user-defined properties or customized pieces as I might like.

There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in.

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Solution Architect at a pharma/biotech company with 10,001+ employees

The SDK behind this entire product needs improvement. The company really should focus more on this because we were finding some inconsistencies on the LDK level. Everything worked fine from the UI perspective, but when we started doing some deep automation scripts going through multiple API calls inside the tool, then only some pieces of it work or it would not return the exact data it was supposed to do. This is the number one area for improvement.

The tool provides the WSDL API as another point to access the data. This is the same story as with the SDK. We are heavily using this API and are finding some inconsistencies in its responses, especially as we are going for more nonstandard features inside. The team has been fixing this for us, so we have some support. This was probably overlooked by the product team to focus more on the UI rather than on the API.

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Analytics Delivery Manager at DXC

The UI just got a real big uplift, but behind the UI, there are quite a few different integrations that go on.

One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage.

Some areas we found take time to process such as metadata scans, some of the management functions at a large scale do take time to process. That's an observation that we've worked with erwin support to a degree, but it seems that's just an inherent part of the scale of our particular project.

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Data Program Manager at a non-tech company with 201-500 employees

If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement.

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Learn what your peers think about erwin Data Intelligence (DI) for Data Governance. Get advice and tips from experienced pros sharing their opinions. Updated: December 2021.
554,873 professionals have used our research since 2012.