In today’s data-driven business landscape, organizations struggle with data they do not trust, affecting their ability to innovate and harness the full potential of data and AI. A recent global survey highlighted that 55% of business and technology leaders cite poor data quality as their biggest challenge, with nearly half also pointing to the difficulties in harmonizing data across ecosystems as a major barrier to innovation. Data-oriented organizations, however, are found to be four times more likely to succeed compared to those in early data management maturity stages.
The Right Data Foundation
Business users require real-time, trusted, and contextually rich data for analytics and planning needs. SAP believes this necessitates seamless integration between all data platforms and business applications, underpinned by a consistent domain data model. SAP’s not only ensures data product consistency but also simplifies master data integration, providing a common language across the entire application landscape to ensure seamless, end-to-end business process execution. In addition, with the rapid growth in the realm and possibilities of AI, this also requires organizations to first have the right data foundation. And, as we know, the most important data in that foundation is your business-critical master data.
SAP Business Suite
SAP recently unveiled its new vision to integrate applications, data, and AI under the umbrella of the SAP Business Suite. This suite is not just a collection of solutions, but a comprehensive transformation engine designed to foster continuous innovation and improvement.
Here is how the SAP Business Suite works and how SAP Master Data Governance plays a role:
Unparalleled Applications (including integration and governance):
SAP’s business applications and Business Technology Platform (BTP) are tightly integrated, ensuring seamless, end-to-end business process execution and not just a set of isolated applications. Accordingly, SAP MDG is designed to offer deep integration within SAP applications rather than functioning merely as an adjacent tool. Of course, SAP MDG can be a master data management solution for any heterogeneous application landscape, but in the context of SAP applications, we can offer much more integration. We have shown this with scenarios embedded into SAP S/4HANA, or with federated SAP MDG deployments across an application landscape. SAP Master Data Governance also helps to ensure that every action taken within these applications – as well as other points of entry – generates trusted, business-critical master data at its source. SAP Master Data Governance ensures replication of high-quality master data across the suite to maintain data accuracy, consistency, and integrity.
Unmatched Data (along with data centralization and enrichment):
We then centralize, harmonize, and enrich master, transactional, 3rd party and other types & sources of data in SAP Business Data Cloud. It doesn’t matter where it’s generated, SAP or non-SAP systems, we unify it into a single source of truth. Contextualized, reliable, and accessible, this data becomes the fuel for advanced 360-degree or AI-driven insights. SAP Master Data Governance supports this 360-degree or unified version of the truth, though master data duplication checks within the master data creation and consolidation processes. By creating a single, authoritative record (or “best record”), SAP MDG eliminates duplicate data entries and inconsistencies.
Unrivaled AI (with a virtuous cycle of innovation):
While much of SAP MDG’s focus for AI is on automation and efficiency (e.g. GenAI for assisted master data changes); SAP Business AI goes beyond basic automation. SAP Business AI and Joule allow for Business-AI processes that are embedded directly into core operations, optimizing and automating repetitive processes in real-time, boosting productivity and efficiency. Through Joule, our AI copilot, employees can orchestrate intelligent agents to collaborate across functions. This breaks down silos, driving real-time, cross-enterprise optimization. Where others may deploy AI in pockets, SAP weaves it throughout the organization, unlocking value and resilience at scale. And as AI refines processes, they generate richer data that fuels even smarter decisions – creating that virtuous cycle of innovation that no one else can match.
SAP Business Data Cloud
The SAP Business Data Cloud (BDC) unifies and governs data from various sources, bridging data silos and providing a trusted and harmonized data foundation, empowering IT and business leaders with full business context to drive more impactful decisions. SAP BDC is SAP’s unified data platform. SAP MDG plugs into this platform by delivering high quality, master data across the SAP Business Suite – maintaining business-critical master data consistency, accuracy, and integrity. Business Data Cloud helps businesses unleash transformative new insights with prebuilt analytical applications and curated SAP data products. And it provides the trusted data foundation to deliver the most reliable AI in our industry.
Data products are the building blocks for intelligent applications. They are purpose built by line of business experts to help customers get the most out of their data. And they solve the difficult task of bringing all their SAP data together in a single data platform while maintaining the meaning of that data and simplifying data management. SAP’s pre-built, fully managed data products will provide a 360-degree business view of a customer’s most critical business processes.
These curated data products maintain the original business context and semantics and align to that highly optimized and unified one domain model, the quality of those core master data attributes is managed with SAP MDG. Data products are included in the Business Data Cloud catalog making them easy to discover, use, and extend. These data products are also consumed by BDC Insight Apps, which are pre-built analytical applications tailored to line of business analytics – such as People, Customer, or Supply Chain analytics – supporting 360-degree insights. In the future, SAP Master Data Governance can further contribute to these data products with additional master data metadata, like data quality scores, rule infractions, or whether a record is indeed the best record.
Conclusion
SAP’s Business Suite strategy, with SAP Master Data Governance supporting business-critical master data quality, represents a holistic approach to data management and innovation. By seamlessly integrating applications, data, and AI, SAP empowers businesses to trust their data, make smarter decisions, and drive continuous improvement. This approach underscores SAP’s commitment to creating a virtuous cycle of innovation, setting the standard for what organizations can achieve with a robust data foundation.
Discover how to get more complete, accurate, and compliant enterprise data with a modern master data management (MDM) system like SAP Master Data Governance. Explore what makes up an MDM system and what its role is in data fabric and AI initiatives.
Read the guide: https://www.sap.com/documents/2024/08/8aff13da-d17e-0010-bca6-c68f7e60039b.htmlListen to the AI-generated podcast: https://letstalkdatapodcast.podbean.com/e/the-evolving-role-of-mdm-in-modern-data-management/
In today’s data-driven business landscape, organizations struggle with data they do not trust, affecting their ability to innovate and harness the full potential of data and AI. A recent global survey highlighted that 55% of business and technology leaders cite poor data quality as their biggest challenge, with nearly half also pointing to the difficulties in harmonizing data across ecosystems as a major barrier to innovation. Data-oriented organizations, however, are found to be four times more likely to succeed compared to those in early data management maturity stages.The Right Data FoundationBusiness users require real-time, trusted, and contextually rich data for analytics and planning needs. SAP believes this necessitates seamless integration between all data platforms and business applications, underpinned by a consistent domain data model. SAP’s not only ensures data product consistency but also simplifies master data integration, providing a common language across the entire application landscape to ensure seamless, end-to-end business process execution. In addition, with the rapid growth in the realm and possibilities of AI, this also requires organizations to first have the right data foundation. And, as we know, the most important data in that foundation is your business-critical master data.SAP Business SuiteSAP recently unveiled its new vision to integrate applications, data, and AI under the umbrella of the SAP Business Suite. This suite is not just a collection of solutions, but a comprehensive transformation engine designed to foster continuous innovation and improvement.Here is how the SAP Business Suite works and how SAP Master Data Governance plays a role:Unparalleled Applications (including integration and governance):SAP’s business applications and Business Technology Platform (BTP) are tightly integrated, ensuring seamless, end-to-end business process execution and not just a set of isolated applications. Accordingly, SAP MDG is designed to offer deep integration within SAP applications rather than functioning merely as an adjacent tool. Of course, SAP MDG can be a master data management solution for any heterogeneous application landscape, but in the context of SAP applications, we can offer much more integration. We have shown this with scenarios embedded into SAP S/4HANA, or with federated SAP MDG deployments across an application landscape. SAP Master Data Governance also helps to ensure that every action taken within these applications – as well as other points of entry – generates trusted, business-critical master data at its source. SAP Master Data Governance ensures replication of high-quality master data across the suite to maintain data accuracy, consistency, and integrity.Unmatched Data (along with data centralization and enrichment):We then centralize, harmonize, and enrich master, transactional, 3rd party and other types & sources of data in SAP Business Data Cloud. It doesn’t matter where it’s generated, SAP or non-SAP systems, we unify it into a single source of truth. Contextualized, reliable, and accessible, this data becomes the fuel for advanced 360-degree or AI-driven insights. SAP Master Data Governance supports this 360-degree or unified version of the truth, though master data duplication checks within the master data creation and consolidation processes. By creating a single, authoritative record (or “best record”), SAP MDG eliminates duplicate data entries and inconsistencies. Unrivaled AI (with a virtuous cycle of innovation):While much of SAP MDG’s focus for AI is on automation and efficiency (e.g. GenAI for assisted master data changes); SAP Business AI goes beyond basic automation. SAP Business AI and Joule allow for Business-AI processes that are embedded directly into core operations, optimizing and automating repetitive processes in real-time, boosting productivity and efficiency. Through Joule, our AI copilot, employees can orchestrate intelligent agents to collaborate across functions. This breaks down silos, driving real-time, cross-enterprise optimization. Where others may deploy AI in pockets, SAP weaves it throughout the organization, unlocking value and resilience at scale. And as AI refines processes, they generate richer data that fuels even smarter decisions – creating that virtuous cycle of innovation that no one else can match.SAP Business Data Cloud The SAP Business Data Cloud (BDC) unifies and governs data from various sources, bridging data silos and providing a trusted and harmonized data foundation, empowering IT and business leaders with full business context to drive more impactful decisions. SAP BDC is SAP’s unified data platform. SAP MDG plugs into this platform by delivering high quality, master data across the SAP Business Suite – maintaining business-critical master data consistency, accuracy, and integrity. Business Data Cloud helps businesses unleash transformative new insights with prebuilt analytical applications and curated SAP data products. And it provides the trusted data foundation to deliver the most reliable AI in our industry.Data products are the building blocks for intelligent applications. They are purpose built by line of business experts to help customers get the most out of their data. And they solve the difficult task of bringing all their SAP data together in a single data platform while maintaining the meaning of that data and simplifying data management. SAP’s pre-built, fully managed data products will provide a 360-degree business view of a customer’s most critical business processes.These curated data products maintain the original business context and semantics and align to that highly optimized and unified one domain model, the quality of those core master data attributes is managed with SAP MDG. Data products are included in the Business Data Cloud catalog making them easy to discover, use, and extend. These data products are also consumed by BDC Insight Apps, which are pre-built analytical applications tailored to line of business analytics – such as People, Customer, or Supply Chain analytics – supporting 360-degree insights. In the future, SAP Master Data Governance can further contribute to these data products with additional master data metadata, like data quality scores, rule infractions, or whether a record is indeed the best record.ConclusionSAP’s Business Suite strategy, with SAP Master Data Governance supporting business-critical master data quality, represents a holistic approach to data management and innovation. By seamlessly integrating applications, data, and AI, SAP empowers businesses to trust their data, make smarter decisions, and drive continuous improvement. This approach underscores SAP’s commitment to creating a virtuous cycle of innovation, setting the standard for what organizations can achieve with a robust data foundation.Discover how to get more complete, accurate, and compliant enterprise data with a modern master data management (MDM) system like SAP Master Data Governance. Explore what makes up an MDM system and what its role is in data fabric and AI initiatives.Read the guide: https://www.sap.com/documents/2024/08/8aff13da-d17e-0010-bca6-c68f7e60039b.htmlListen to the AI-generated podcast: https://letstalkdatapodcast.podbean.com/e/the-evolving-role-of-mdm-in-modern-data-management/ Read More Technology Blogs by SAP articles
#SAP
#SAPTechnologyblog
