erwin Data Modeler vs. SAP Master Data Governance

If you have a database environment that gets frequent schema object change requests. erwin Data Modeler is a great tool for version control and release control. Also, it's very useful to communicate between database and application teams.

Incentivized

When configuring and testing new plant and warehouse for our client in automotive industry we had to test warehouse business processes, for that we needed Mater data and transactional data. And We levied SAP Master Data Governance to import all the master data including Materials, Customer, vendor, work center, Bill of Material among other datas. Our inhouse SAP Master Data Governance team, tested the data accuracy, ran simulation before finally loading the data into SAP. There were many failed master data which could not be loaded because of missing prequisites like Plants, storage locations. We corrected them in SAP Master Data Governance system by configuring plants, slocs and adding them to the material.

Incentivized

• Creation of logical data models
• Reverse engineering
• Excellent communication tool in conversations with Developers and BAs
• As a company, Erwin provides lots of tutorials and how-tos.

Incentivized

• SAP MDG is a powerful platform that enables implementation of advance master data automation such as field auto derivation.
• Like SAP ECC, MDG performs very well throughout all sites around the world.
• SAP MDG comes equipped with the standard ECC or S/4Hana data models. This greatly simplifies rollout of the governance platform.

Incentivized

• erwin Data Modeler allows only 25 entities in a trial version. It really limits you when you want to try out the product before actually deciding to pay for licensing cost. It would be rather helpful if they limit the trial period by days instead.
• The UI is pretty good but sometimes the large diagrams are hard to manage. A little improvement in that area would be helpful.

Incentivized

• The learning curve is steep, and I think the build procedures might be challenging at first because we are transitioning from a non-systematic data management perspective.
• My team and I believe that its integration into learning new capabilities is complicated and limiting in terms of customizing reports.

Incentivized

MDG has proven to work and to bring results once implemented with the right approach, right engagement and sponsorship. Given that it is a very good tool to govern and control master data. Mainly if your company runs SAP systems which there will be a very straight forward integration, not needing any additional middleware or technologies.

Incentivized

The product is well designed and intuitive to use. The number of buttons and options can look a bit overwhelming initially but they come very handy when you get used to product.

Incentivized

Upto 8 1. Powerful Features: It offers a wide range of powerful features. 2. Complex Data Management: It helps companies to comply with large and complex regulation and audit processes. Missing 2: 1. Less interactive user interface or less modern look. 2. Limited integration with other tools

Incentivized

CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.

Incentivized

SAP provides great support for Master Data Governance (MDG). They work with us when we are faced with issues in standard solutions. SAP has a great set of Fiori tools that can be used for a better user experience. The issue with SAP is their web dynpro UI screens and they need to provide better support for performance issues that customers face.

Incentivized

critical to get management on board earlier and prioritize the resources

Incentivized

I have used few other data modeling tools like Toad Data Modeler and SQL Developer Data Modeler. erwin Data Modeler is easy to use and has additional features that make overall data modeling productive and easy to manage.

Incentivized

Although Power BI has a cleaner interface, the functionality in terms of making sense of complex data has to go to SAP Master Data Governance. Any tool can be learned, so although there is a learning curve to SAP Master Data Governance, their online resources are a great guide.

Incentivized

• Reduced rework from when models were maintained individually.
• Reduced the amount of time to generate and compare models during development.
• Massively reduced the amount of time to reverse engineer 3rd party data models for analysis.

Incentivized

• We can make smarter decisions, enabling advanced scenarios like as AI/ML for predictive maintenance of instances, and data standardization decreases application build time, reporting, and connectors.
• The quality of the data has been increased, and the consistency of custom functionality has been assured.

Incentivized