For enterprises to succeed with SAP solutions, operational factors such as planning, management, and resource utilization are crucial. Enterprise Resources Planning (ERP) can manage key resources to provide operational decision support and continuously optimize overall business decisions. With the evolution of enterprise digital transformation, not only must the enterprise's information infrastructure be able to handle vast amounts of data generated from various channels, but ERP systems also need to be transformed into flexible deployment and integration, data-driven orientation, and feature compliance and security to help the enterprise stand out.
The advantages of SAP solutions
Creating value through resilience
Transforming into an agile enterprise
Reducing total holding cost
Reliable and secure infrastructure
Compliance
Pain points of enterprises
01. The current infrastructure expansion is insufficient, the equipment procurement process is lengthy, which hinders the rapid realization of business value.
02. Facing a rapidly changing industry environment, there is a need to flexibly utilize structured data within the enterprise to enhance the company's competitive advantage.
03. Data is a crucial asset for enterprises, how to comprehensively, securely, compliantly, and automatically manage enterprise data is essential.
eCloudrover can help you out
Given the challenges faced by the aforementioned ERP system transformation and the enterprise digital transformation, eCloudrover has summarized its experience and launched the SAP IaaS integrated solution. By extracting critical data from the cloud-based SAP solution, it assists clients across various industries in building a digital transformation architecture. The five key stages of the SAP solution are as follows:
Migrate SAP to the Amazon Cloud
* SAP Migration Architecture Transformation (Non-Upgrade) * Approaching 0 Downtime (nZDT) Migration * SAP Disaster Recovery Services
Import data integration into SysOps, DevOps, and enterprise environments
* Non SAP and SAP Integration Customization * Automated SAP system maintenance and resource scheduling tools * SAP DevOps architecture design and implementation
SAP system upgraded to x/4HANA
* SAP Well-Architected on Cloud * Importing SAP x/4HANA technology platform * Upgrading SAP technology platform
Introduce multiple sources of data for big data analysis with SAP as the core
* SAP/Non SAP * Data lake solution design involves integrating with SAP and importing data analysis into self-service analytical architecture
Introduce artificial intelligence with SAP at its core
* Building and importing artificial intelligence models * Integrating SAP systems with artificial intelligence solutions
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