Azure Data Catalog vs. SAP Master Data Governance

Azure Data Catalog has helped our data governance and BI
efforts. It's an enterprise-level data dictionary that grows with our data
ecosystem. We build cloud-native apps with data management tools. And we get
insights quickly and with less overhead, and the drag-and-drop interface is one
of the best parts of it. Drag-and-drop is easy so that we can deliver quickly.
Visual effects make it more flexible. One thing to note is that working on it
requires some skill to maintain the integrity of all the components. Another
improvement would be lowering the licensing cost.

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

• It's easy to use and implement.
• Ownership of the data.
• It's helpful for all businesses.
• Policy on data preservation.
• It can utilize various data sources.
• Data management is secure and simple.

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

• We have been it for a while now and I do not see any major concerns with the product interms of UX/UI, product support and periodic releases

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

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

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

To create cloud-native applications, we rely on Azure Data
Catalog for data management. I believe it was better suited to our organization
and maturity level regarding costs and onboarding procedures. We can get
insights quickly and with less work. Familiarity also played a role in our
choice. In general, I believe this product is worthwhile. But the IT
environment in which it will be deployed will impact this. Therefore, compared
to other tools on the market, Azure Data Catalog is the best option.

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

• Less time spent on data searches.
• Discovering, understanding and consumption of data sources is much easier.
• We recover data from different locations from a central point.

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