SAP Master Data Governance vs. Stibo Systems Multidomain MDM

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

STEP is very good for producing catalogues and direct mail, providing the content is maintained and updated regularly. The autopage function is ideal for catalogues, whereas for more stylised brochures we can paginate into InDesign which allows publishing end users to apply a more visual design.

• 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

• There are many needs that we demand of this program, and in most cases it always has a function to solve and organize the demands of its users.
• Stibo Systems Multidomain MDM is a program that has taught us a better balance and balance with the contact with all our clients, having this program we are more professional.

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

• Charts to display the data trends.
• Better documentation for API.
• A Machine Learning Module to do forecasts.

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

It's a very powerful tool but made for the more IT focused user vs. a typical business user. Our team has knowledge of both sides but if we were to provide this to another internal team such as marketing or product, it would be a challenge due to functionality not being available in both their web app (user friendly) and workbench (backend focused)

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

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

Stibo has an easy-to-use API to use as DATA as a Service. I like SAP Master Data Governance, but I think Stibo has more specialization in integrating the relationships among the data tables. And then expose this data in the web API as a service. Stipo has documentation of cases for Retail and Logistics and how to integrate this spare data.

• 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

• Reduced FTE need by 1
• Improved data accuracy
• Streamlined process

Incentivized