IBM Cloud Pak for Data vs. SAP Master Data Governance

IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.

Incentivized

The best use case of SAP Master Data Governance is centrally consolidating your organizational data so you can make sense of it and make business decisions using that data. We live in a world where data can be all over the place, and making sense of it is a skill of its own.

Incentivized

• Increases our impact by combining BI skills with advanced analytics and machine learning in an easy to use visual interface.
• Visualization and reporting.
• Rapidly provides business -ready data to all users equally.
• Manage data spread across distributed stores and clouds.

Incentivized

• Data conversation and Data uploading into SAP S/4 HANA system using SAP Master Data Governance during SAP implementation phase.
• Centrally Data governance to have visibility of data in different systems with integration to SAP Master Data Governance, including SAP S/4, SAP EWM and SAP Ariba.
• Data Management and Data correction using MDM through SAP Master Data Governance for Materials, which is subjected to approval before finally using in the S/4.

Incentivized

• Cannot save changes to some secrets in the internal vault
• Sign-in issues on environments where IAM is enabled
• The Enforce quotas option is disabled

Incentivized

• We've had to design our own unique or alternative solutions to satisfy our business objectives because plugins don't always perform well with the main product.
• It can be sluggish at times and lacks functionality offered by rival MDM packages, as well as limited resources and documentation for certain areas such as hierarchy.

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 Cloud Pak for Data takes the IBM Cognos solution and provides this on an enterprise cloud platform that can be extended to support better data integration and data science capabilities.

Incentivized

An environment provided by SAP Master Data Governance seamless and integration with other SAP products is very good. Also it ensures compatibility and streamlines procedures, this integration is beneficial for businesses who have already invested in SAP products.

Incentivized

• We have the ability to access all our data much quicker through the unified search option.
• 30% increase in productivity through the introduction of AI.
• Improved data security and governance.

Incentivized

• MDG is definitely an investment that takes a few years to recuperate. (If you are looking at pure, direct financial benefits.)
• However, if you look at all the productivity gains in the business due to not having to stop the business constantly because of data issues, the payback period would be substantially shorter.
• In particular, we were able to reduce master data maintenance staffing levels while increasing quality and decreasing workload for business requesters and approvers.
• Not having to worry about data integrity issues has shortened the time to realize benefits for several of our major process change related projects and it has also decreased the risk of these projects running into significant delays (often at the last minute) due to master data being misjudged during the process resdesign.

Incentivized