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Developing a Master Data Management Framework for Successful SAP Migration

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Key Takeaways

⇨ The primary objective of transitioning to SAP S/4HANA is to achieve a seamless transition while minimizing costs, time, and associated risks.

⇨ However, a thorough understanding of the core components of the SAP migration framework and the pivotal role of master data management (MDM) is critical for a successful migration.

⇨ The article explains some of the critical components of an SAP migration blueprint and why organizations need a data strategy to support it.

The primary objective of transitioning to SAP S/4HANA is to achieve a seamless migration while minimizing costs, time, and associated risks. Understanding the core components of the SAP migration framework and the pivotal role of master data management (MDM) is crucial for success. The complexity of SAP modernization is influenced by an organization’s data landscape, often involving diverse formats and multiple ERP systems. A robust data strategy is essential for consolidating and migrating data efficiently. Key strategies include maintaining high data quality, leveraging AI-powered MDM connectors, and utilizing SaaS-based intelligent MDM solutions to reduce costs and improve efficiency. MDM tools are vital for minimizing downtime, ensuring real-time data synchronization, and supporting a composable ERP landscape. Successful migration involves evaluating master data complexity, automating data discovery, and managing dependencies. The effectiveness of SAP modernization is measured by quick time-to-value and risk mitigation, tailored to business priorities and operational requirements. Informatica’s Master Data Management services with its Intelligent Data Management Cloud™ (IDMC) support organizations in achieving these goals.

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