Session Replay | Statistics and Key Findings | ||
ST106: Taking Integration to the Next Level: Update on SAP’s Integration Strategy Strategy talk providing insights into SAP’s suite qualities, holistic technology and business process integration across solutions, as well as third-party integrations. | More than 1600 registered people Focus of incoming questions was on the coverage of end-to-end scenarios, the interplay between One Domain Model, Master Data Integration and SAP Graph, and related roadmap information. For more information, see:
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IIS120: One Domain Model and Master Data Integration Lecture explaining strategy and means to get a consistent view of master data within the intelligent suite across end-to-end business scenarios such as lead to cash, recruit to retire, source to pay, and design to operate. | More than 800 registered people Focus of incoming questions was on One Domain Model/Master Data Integration coverage, extensibility and examples and the relation to SAP Master Data Governance. For more information, see:
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IIS816: SAP Master Data Governance and Master Data Integration Roadmap session explaining the difference between Master Data Integration and Master Data Management (through SAP Master Data Governance) and showing the way forward. | More than 1000 registered people Focus of incoming questions was on MDG deployment options (hub vs. co-deployment) and about which MDG version to use (move to MDG on S/4HANA or stay on ECC version). And, on details about MDG relation to One Domain Model/Master Data Integration (as outlined above). For more information, see:
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IIS105: Gain the Quality Your Business Deserves with SAP Master Data Governance Breakout session about the data quality management capabilities in SAP Master Data Governance on S/4HANA to systematically detect, analyze, and remediate master data quality defects. Including data quality visualization in SAP Analytics Cloud. | More than 800 registered people Focus of incoming questions was on the usage of SAP Information Steward vs. SAP MDG, machine learning used in MDG, and possibilities to expose data quality information in SAP Analytics Cloud. For more information, see:
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Master Data Integration is about distributing master data based on SAP One Domain Model for harmonized view across all applications. Companies expect broad domain coverage for end-to-end process integration.
Master Data Management is about ensuring high quality for trusted master data across the enterprise. Companies prioritize extra investment for pristine data quality for selected domains according to business needs.
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