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Conclusion: Organisations using Microsoft Server licences should consider leveraging the full potential of recent developments in the AWS licence suite. For more than a decade, AWS Cloud services have provided different organisations reliable data servicing and fewer downtime hours. AWS suggests that it offers clients more instances and twice the performance rate on SQL servers compared to other Cloud providers. Clients will need to have a performance rating in mind to validate these services for their own use.
Over the past decade, AWS has sought to innovate its processes and features following customer feedback. For example, the AWS License Manager was developed after customer feedback as a one-stop solution that manages usage limits and enables IT licensing optimisation across a variety of software vendors and across hybrid environments. It is important for customers to compare this licence management solution with other Cloud providers to validate the additional benefits.
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Conclusion: SAP ECC on-premise versions required ownership of ERP infrastructure and multi-year licensing. The business cases for such investments considered ERP systems essential to remain competitive in IT service industries, logistics and resource-intensive sectors.
The next stage of the SAP journey recognises that Cloud infrastructure associated with S/4HANA can remove the large capital investment and reduce operating costs. Even with this infrastructure saving, the data migration risk remained with CIOs looking to identify a reliable data migration method. Any data migration considered to be high risk should be avoided in the current environment. Many are unfamiliar with the best method to migrate from on-premise SAP solutions to SAP S/4HANA in the Cloud.
SAP and its partners are now making this data migration journey not only more transparent but achievable in a timeframe that is measured in months not years. This is being achieved through Cloud platforms that can interrogate and integrate legacy data, then present migration paths in real time whilst retaining the data integrity before, during and after the migration.
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