I appreciate SAP Analytics Cloud for its seamless integration with S/4 HANA Embedded TM, providing real-time visibility into freight orders, carrier performance, and cost distribution without heavy data replication. The interactive dashboards and drill-down capabilities simplify complex data analysis, making it an invaluable tool for logistics teams to forecast transportation costs and capacity needs based on historical TM data. The platform's real-time integration ensures that dashboards reflect the latest data without the need for manual refreshes, effectively eliminating delays in decision-making and reducing errors commonly caused by outdated reports. The advanced visualization features and interactive dashboards further enhance the insight into freight orders, carrier assignments, and costs, making SAP Analytics Cloud a game changer. Its compatibility with SAP S4 HANA Core modules to integrate with Finance and Controlling modules ensures alignment of freight cost analytics with financial reporting, enhancing the overall utility of the platform. Additionally, the pre-built connectivity options facilitate the connection with S/4 HANA and help to reduce custom development efforts, while the cloud deployment for SaaS accelerates onboarding compared to on-premises options. Review collected by and hosted on G2.com.
In complex data modeling for TM structures, it can be cumbersome as SAP Analytics Cloud doesn't automatically understand TM's hierarchical relationships. There is a need for improvements in specific data models or templates to reduce manual effort. When analyzing thousands of freight orders or historical cost data, SAP Analytics Cloud dashboards experience latency, especially with complex calculations. Additionally, while generic templates are provided, TM-specific dashboards for aspects like freight cost variance, carrier performance, and route efficiency are missing. Industry-specific content packages for TM could reduce setup time and improve adoption. Furthermore, there is a need for AI-driven predictive models for freight demand, carrier capacity, and route disruptions, considering external factors like weather or fuel prices. Review collected by and hosted on G2.com.
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This reviewer was offered a nominal gift card as thank you for completing this review.
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