digital supply chain

Implementing SAP IBP Analytic Stories to Improve Supply Chain

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Key Takeaways

⇨ SAP IBP Analytics Stories incorporates several features from SAP SAC (SAP Analytics Cloud) but remains exclusive to the SAP IBP (Integrated Business Planning) product.

⇨ The effectiveness and efficiency of SAP IBP Analytics Stories are significantly influenced by the configuration of the SAP IBP system. Factors such as memory allocation, data volume, and the complexity of the Planning Area play a crucial role in determining the performance of this tool.

⇨ Analytics Stories can be customized for different segments of Supply Chain implementations, providing users with the ability to navigate between pages and view various types of data such as Supply Data, Demand Data, and more complex data science analyses of supply chain processes and algorithms.

he SAP IBP Analytics Stories App, while incorporating several features from the SAP SAC product, remains exclusive to the SAP IBP product. Consequently, not all functionalities of SAP SAC are present in SAP IBP Analytics Stories. However, like all SAP products, enhancements are expected over time and SAP IBP Analytics Stories roadmap is still valid on the SAP IBP 2311 release forward. The performance of SAP IBP Analytics Stories is influenced by the setup of the SAP IBP box, including memory factors, data volume, and the complexity of the Planning Area. This tool marks a notable advancement in Dashboarding and reporting for SAP IBP, offering considerable versatility. It allows for the creation of key figure calculations independent of the Planning Area, eliminating the need for Planning Area activation. Analytic Stories can be tailored for different segments of Supply Chain implementations, providing the ability to navigate between pages and view Supply Data, Demand, or more sophisticated data science analyses of supply chain processes and algorithms.

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