IBM Cloud Pak for Data vs. SAP Master Data Governance

Unlike others analytics tool IBM Cloud Pak for Data provides out-of-the-box privacy, model interpretability and fairness monitoring, along with automatic explanation of data and models written in business language. It's a great tool that all business should emulate. Great user experience because of every feature is functional and improved constantly.

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

• The AI services catalog like the Watson Assistant is very good.
• The analytics dashboard featuring all the recent history is very good with IBM.
• Searching for data through the unified search option is super cool.

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

• It is complex; The platform comes with several features from MLOPs to Customer 360 which may take a long time for the user to understand.

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

IBM has healing mechanisms when resource usage is high. This platform performs well, but when it runs out of capacity, it has crashed for many clients. This is innate in its original design

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

• can improve readiness for cloud migration, improve licensing flexibility with IBM, and reduce both hardware purchases and infrastructure management efforts.
• reduces the expenses of internal resources.
• should improve efficiencies, reduce risks, and increase performance

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