Compare SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance

erwin Data Intelligence (DI) for Data Governance is ranked 3rd in Data Governance with 3 reviews while SAS Data Management is ranked 1st in Data Governance with 3 reviews. erwin Data Intelligence (DI) for Data Governance is rated 8.6, while SAS Data Management is rated 9.0. The top reviewer of erwin Data Intelligence (DI) for Data Governance writes "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". On the other hand, the top reviewer of SAS Data Management writes "Stable data management and analysis and has a myriad of features". erwin Data Intelligence (DI) for Data Governance is most compared with Collibra Governance, Informatica Axon and Alation, whereas SAS Data Management is most compared with Palantir Gotham, Ab Initio Co>Operating System and SSIS.
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Most Helpful Review
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
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 there 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.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.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.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.

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If you compare it to SQL, the memory and development times are very quick.The technical support is excellent.This is an established product with powerful data analysis and varied options for user entry points.

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Cons
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.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.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.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.

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We find we often have to go back and re-train users when there are changes made to the solution because the changes are not intuitive.With SAS Data Management, you have to purchase an external driver, configure all of the tables for all of the data that you will extract from Salesforce. It's not a straightforward process.Very little needs to improve but perhaps a nicer graphic interface and remaining competetive in the growing field of data analytics.

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Pricing and Cost Advice
erwin's pricing was cheaper than its competitors.You buy a seat license for your portal. We have 100 seats for the portal, then you buy just the development licenses for the people who are going to put the data in.The whole suite, not just the DI but the modeling software, the harvester, Mapping Manager — everything we have — is about $100,000 a year for our renewals. That works out to each module being something like $8,000 to $10,000.The licensing cost is around $7,000 for user. This is an estimation.There is an additional fee for the server maintenance.

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While it is even free for personal use on the cloud, it can be expensive for desktop installations and enterprise use.

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Ranking
3rd
out of 24 in Data Governance
Views
373
Comparisons
291
Reviews
2
Average Words per Review
3,633
Avg. Rating
8.0
1st
out of 24 in Data Governance
Views
1,930
Comparisons
1,362
Reviews
2
Average Words per Review
1,242
Avg. Rating
8.5
Top Comparisons
Compared 12% of the time.
Also Known As
erwin DG, erwin Data GovernanceSAS Data Management Platform, Data Management Platform, DataFlux
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erwin, Inc.
SAS
Overview

The erwin Data Intelligence Suite (erwin DI) combines data catalog and data literacy capabilities for greater awareness of and access to available data assets, guidance on their use, and guardrails to ensure data policies and best practices are followed. Automatically harvest, transform and feed metadata from a wide array of data sources, operational processes, business applications and data models into a central data catalog. Then make it accessible and understandable within context via role-based views. This complete metadata-driven approach to data governance facilitates greater IT and business collaboration.

Every decision, every business move, every successful customer interaction - they all come down to high-quality, well-integrated data. If you don't have it, you don't win. SAS Data Management is an industry-leading solution built on a data quality platform that helps you improve, integrate and govern your data.

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Sample Customers
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Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
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