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SAS Data Management vs erwin Data Intelligence (DI) for Data Governance comparison

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SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance
May 2022
Find out what your peers are saying about SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance and other solutions. Updated: May 2022.
609,272 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"We always know where our data is, and anybody can look that up, whether they're a business person who doesn't know anything about Informatica, or a developer who knows everything about creating data movement jobs in Informatica, but who does not understand the business terminology or the data that is being used in the tool.""The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company.""erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint.""We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation.""Overall, DI's data cataloging, data literacy, and automation have helped our decision-makers because when a source wants to change something, we immediately know what the impact is going to be downstream."

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"The tool is reliable, quick, and powerful.""Its robustness is valuable. It is a full-fledged suite. We have a data warehouse model, and there are also a lot of data quality management tools. The repository and all other tools are there. So, it is a full package in terms of reporting tools.""The technical support is excellent.""The product offers very good flexibility.""In terms of which features I have found most valuable, I would say the importing and exporting features. Additionally, the data sorting, categorizing and summarizing features, especially how it can summarize based on categories. These are the key features.""If you compare it to SQL, the memory and development times are very quick."

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Cons
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier.""We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server.""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 because they get locked.""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.""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."

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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.""The solution is quite expensive and hard to install/configure.""The solution could use better documentation.""One problem is accessing the data using a solution other than SAS. The SAS data, which we create in the SAS, cannot be accessed by other tools. We can't open those data in other applications. So we need to have that application in place.""We implemented it a while ago, and we are trying to improve the data delivery performance. We are looking into how to get faster and automated reporting. We would need better designs and workflows."

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Pricing and Cost Advice
  • "The solution is aggressively priced."
  • "We operate on a yearly subscription and because it is an enterprise license we only have one. It is not dependent on the number of users."
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    Questions from the Community
    Top Answer:My advice is to consider the advantages of one-stop shopping - do you like going to 5 different stores to get what you need?  Having all of the information to support your work and Enterprise in a… more »
    Top Answer:The tool is reliable, quick, and powerful.
    Top Answer:The solution is quite expensive and hard to install/configure.
    Ranking
    6th
    out of 41 in Data Governance
    Views
    5,156
    Comparisons
    1,791
    Reviews
    4
    Average Words per Review
    2,493
    Rating
    9.0
    5th
    out of 41 in Data Governance
    Views
    3,915
    Comparisons
    3,156
    Reviews
    6
    Average Words per Review
    820
    Rating
    8.2
    Comparisons
    Also Known As
    erwin DG, erwin Data Governance
    SAS Data Management Platform, Data Management Platform, DataFlux
    Learn More
    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.

    Offer
    Learn more about erwin Data Intelligence (DI) for Data Governance
    Learn more about SAS Data Management
    Sample Customers
    Oracle, Infosys, GSK, Toyota Motor Sales, HSBC
    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
    Top Industries
    REVIEWERS
    Insurance Company30%
    Computer Software Company20%
    Pharma/Biotech Company10%
    Healthcare Company10%
    VISITORS READING REVIEWS
    Computer Software Company32%
    Financial Services Firm9%
    Government8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Computer Software Company34%
    Comms Service Provider9%
    Government9%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Midsize Enterprise30%
    Large Enterprise70%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise12%
    Large Enterprise73%
    REVIEWERS
    Small Business46%
    Midsize Enterprise8%
    Large Enterprise46%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    Buyer's Guide
    SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance
    May 2022
    Find out what your peers are saying about SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance and other solutions. Updated: May 2022.
    609,272 professionals have used our research since 2012.

    erwin Data Intelligence (DI) for Data Governance is ranked 6th in Data Governance with 4 reviews while SAS Data Management is ranked 5th in Data Governance with 6 reviews. erwin Data Intelligence (DI) for Data Governance is rated 9.0, while SAS Data Management is rated 8.2. The top reviewer of erwin Data Intelligence (DI) for Data Governance writes "We always know where our data and metadata are, versus having to spend weeks hunting down information". On the other hand, the top reviewer of SAS Data Management writes "One-stop-shop solution for sorting, categorizing and summarizing your data". erwin Data Intelligence (DI) for Data Governance is most compared with Alation Data Catalog, Microsoft Purview, Informatica Axon, Collibra Governance and Ataccama ONE Platform, whereas SAS Data Management is most compared with Informatica PowerCenter, Collibra Governance, Informatica Axon and Microsoft Purview. See our SAS Data Management vs. erwin Data Intelligence (DI) for Data Governance report.

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    We monitor all Data Governance reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.