

SAP Master Data Governance and Microsoft Purview Information Protection compete in enterprise data management. Microsoft Purview seems to have the upper hand due to its comprehensive data protection features across multi-cloud environments.
Features: SAP Master Data Governance leverages an embedded business workflow engine for cross-departmental operations, offers robust data quality management, and supports data replication framework and duplicate data identification. Microsoft Purview Information Protection provides data classification and sensitivity labeling across multi-cloud environments, integrates compliance features, and delivers comprehensive user education and data protection.
Room for Improvement: SAP Master Data Governance could enhance its user-friendliness, streamline implementation, and integrate AI for better data management. Microsoft Purview needs improvements in third-party integration, reporting capabilities, and more flexible features for data detection and policy enforcement. Better AI integration and comprehensive documentation are also needed.
Ease of Deployment and Customer Service: SAP Master Data Governance typically uses on-premises but explores hybrid cloud solutions, offering structured support with slow response times. Microsoft Purview operates mainly on public and hybrid clouds, providing consistent support yet requiring improvements in response times and troubleshooting.
Pricing and ROI: SAP Master Data Governance is expensive, with cost driven by economic factors and licensing, yet offers good ROI through reduced data duplications and enhanced customer service. Microsoft Purview has competitive pricing, especially with bundled solutions like the E5 license, providing worthwhile investment through its comprehensive capabilities and integration with other Microsoft services.
Purview can do a quick scan, and it doesn't use human resources, so it gets time to do things that we need humans to focus on.
The E5 license comes with different solutions like data discovery classification, CASB, DLP solutions, and Defender for Cloud.
The cost of data loss and your data going to a competitor is potentially massive.
Sometimes, I get a fast and knowledgeable response, while other times, I've experienced delays and received no resolution.
It's hard to be an ambassador for a product when you know it will be hard to get support.
After our issues are reported, it takes a long time to find a resolution.
It can be scaled across different departments organization-wide very quickly and easily.
It can handle large collections of data without issues.
Scalability can be improved by reducing these intervals.
Regarding scalability when a company is growing, you can scale SAP Master Data Governance.
Once implemented, I haven't had issues with its consistency.
The product is stable, and whatever it does, it does better than any other thing.
Since identity is where everything is based, if that goes down, you're screwed.
It has been sold to hundreds of thousands of clients worldwide since its launch in 2006 or 2007.
Effectiveness in Microsoft Purview Information Protection means enforcing the policy and making sure it works consistently across non-Microsoft products as well.
A lot of functionality in Microsoft Purview Information Protection is not exposed in an API officially yet, which has made a lot of implementation work difficult because we have to do click ops instead of DevOps.
Having a roadmap or updates about new releases would be helpful for demonstrating to clients.
It is not a one-time deployment; it requires ongoing investment in user and product knowledge, and you need to weigh the pros and cons of any IT solution.
Regarding SAP Master Data Governance, there is significant room for improvement particularly concerning the replication types.
I talked to people who had compared it to other products on the market, and they're spending five figures to get started.
The E5 license covers most of the solutions for different technologies, so that way, it is good and more affordable compared to any other solution.
Our focus is on helping customers maximize their software investment.
Microsoft Copilot is an advantage because it's enterprise-grade AI.
It's paramount to have a single solution for information protection.
Regardless of the education, the employee might share the information anyway, so the AI shouldn't be the first point of failure. It should be a human making good decisions.
It is important that when you begin this journey of deploying the product, that you do not approach it from a technical standpoint but involve business design from the very beginning.
| Product | Mindshare (%) |
|---|---|
| Microsoft Purview Information Protection | 2.1% |
| SAP Master Data Governance | 1.5% |
| Other | 96.4% |

| Company Size | Count |
|---|---|
| Small Business | 5 |
| Midsize Enterprise | 4 |
| Large Enterprise | 14 |
| Company Size | Count |
|---|---|
| Small Business | 4 |
| Midsize Enterprise | 5 |
| Large Enterprise | 23 |
Implement Microsoft Information Protection (MIP) to help you discover, classify, and protect sensitive information wherever it lives or travels.
MIP capabilities are included with Microsoft 365 Compliance and give you the tools to know your data, protect your data, and prevent data loss.
To learn more about our solution, ask questions, and share feedback, join our Microsoft Security, Compliance and Identity Community.
SAP Master Data Governance centralizes data governance with a user-friendly interface and robust integration capabilities, ensuring streamlined approval processes and a definitive data source.
SAP Master Data Governance facilitates efficient management of enterprise data through its business workflow engine, seamless integration with ERP and other systems, and multidomain MDM features. It enhances data quality management by addressing duplicates and supports customization for data standardization. The system offers flexible reporting and efficient data replication while maintaining data centralization.
What are SAP Master Data Governance's key features?SAP Master Data Governance is widely implemented in industries such as procurement and finance for managing materials, customer, and vendor data. It offers customizable data models to support specific requirements, enabling efficient data management and integration across distributed systems.
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