Data Governance Features

Read what people say are the most valuable features of the solutions they use.
Data Program Manager at a non-tech company with 201-500 employees
It is very complete. Whatever you need, you can find it. While the presentation of results can be a bit confusing at first, there is a wide range of widgets that enables the user to find the proper information quickly. The presentation of information is something very valuable. The direct integration of processes and organization into the tool is something very nice. We feel there is a lot potential for us in this. Although we have not configured it yet, this product could bridge the space between business and IT, then a lot of processes related to data governance to be handled through the tool. This gives it that all in one aspect which shows high potential. The mapping is good. View full review »
Val Sondoyi says in a SAS Data Management review
Tech Lead at Complete Enterprise Solutions
The interface of the solution is great. You don't need to be an experienced analytics person to work with the product. Even new users can do all sorts of modeling on the data. The data-cleaning aspect of it is awesome. You can put together different data sets from different environments and different platforms. SAS Data Management takes a lot of data sets, and you can do any sort of analysis on them. It's very, very comprehensive. View full review »
reviewer1200564 says in a Zaloni Data Platform review
Manager Programmes - Analytics & Data Science at a transportation company with 10,001+ employees
The most valuable feature is the ability to map data and write workflows with logic inside them. It is possible to see the lineage and metadata information, which is useful even though we have not yet used it extensively in my organization. View full review »
reviewer1268517 says in a SAS Data Management review
Head of BI at a tech services company with 51-200 employees
The language is the most valuable feature within the solution. It's very flexible and very powerful. If you compare it to SQL, the memory and development times are very quick. Trying to develop the code is very easy. View full review »
Sr. Manager, Data Governance at a insurance company with 501-1,000 employees
They have just the most marvelous reports called mind maps, where whatever you are focused on sits in the middle. They have this wonderful graphic spiderweb that spreads out from where you can see this thing mapped to other logical bits or physical bits and who's the steward of it. It's very cool and available to your business teams through a portal. Right now, we're focusing on building a library. erwin DM doesn't have the ability to publish out easily for business use. The business has to buy a license to get into erwin DM. With erwin DI, I can have a full library of physical data there or logical data sets, publish it out through the portal, and then the business can do self-service. We are also looking at building live legends on the bottom of our reports based on data glossary sets. Using an API callback from a BusinessObjects report from the EDGE governance area in the Data Intelligence Suite back to BusinessObjects, Alteryx, or Power BI reports so you can go back and forth easily. Then, you can share out a single managed definition on a report that is connected to your enterprise definitions so people can easily see what a column means, what the formula was, and where it came from. It already has the concept of multilanguage, which I find a really important thing for global teams. View full review »
Data Architect at NAMM
For me, the biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good. That has come up a lot. The solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple. It has given us better adaptability in our EDW and a more standardized way of looking at data, as opposed to all of the different formats. Our experience with the solution's Smart Data Connectors is still limited, but so far we're impressed. For us, it's mostly been reverse-engineering. But because we got to start this whole project from scratch it was really about forward-engineering. One of the advantages is that we wanted to go back through the entire enterprise, and start mapping everything legacy or future. Ultimately, the future is to move to the cloud and rearrange all our data and reprioritize the most important attributes and not have multiple replications of data to our many silos. So the Smart Data Connectors to engineer code have been spot-on. Harvesting reverse-engineering allows us to test and verify some of the things that are odd. It's got a proprietary format that works really well within all the systems and I can export to any format, including my data profiling, my mapping integrator, and any and all of my governance stuff, whether it's within the business rules, the policies, the dictionaries, or the glossaries. I can export that into a CSV or Visio depending on what it is. View full review »
Solution Architect at a pharma/biotech company with 10,001+ employees
The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us. I'm working as a solution architect in one of the biggest projects and we really need to deliver quickly. The natural thing was that we went through the automation and started adopting some small pieces. Now, we have all our software development processes built around the automation capabilities. I can estimate that we lowered our time to market by 70 percent right now using these automation scripts, which is a really big thing. The second best feature that we are heavily using in our project is the capability to create the mappings and treat them as a documentation. This has shown us the mappings to the different stakeholders, have some reviews, etc. Having this in one product is very nice. View full review »
RaviLagu says in a SAS Data Management review
Senior Manager at Indiabulls Housing Finance Limited
It's quite easy to use, even for a business user. A person who does not have any background in coding, could with minimal training use this software to get any additional data elements or additional tables that they require but are not currently getting. Also, it can connect to a variety of sources through an ODBC driver, so whether the solution is on-premises or on the cloud it can connect to all of the sources. View full review »
Abdul Samad Gabru says in a SAS Data Management review
Director at PurpleOak Investments
I just use the main features of SAS (Statistical Analysis System). I use it to work with data from Excel and then go from SAS to Excel. It is very light usage really. I don't use the broader capabilities. There is probably 90% I haven't used at all. View full review »