Critical factor: Availability
Differentiation between homogeneous and heterogeneous SAP system copy
A major risk to the availability of the entire SAP environment arises when system copies are not transferred to the QA system for reasons of time and resources. Development and test work then takes place on a QA system that does not correspond to the production system. The disruption of the production system - sooner or later - is then already pre-programmed.
Basically, a distinction is made between the initial setup and refresh of a non-productive SAP system. In the past, the cost of a refresh, i.e., updating the environment with new data, often corresponded to the cost of the initial setup. This also restricted the availability of the productive system, which is hardly tolerable for companies that operate internationally and in different time zones.
SAP SYSTEM COPY - in a nutshell
Partial copies from SAP systems with the help of tools open up potential savings and in many cases make system copies and complete client copies superfluous. The ability to anonymize data reduces the effort required to comply with data protection regulations in training systems, for example. In addition, up-to-date, consistent test data improves the flexibility and quality of development and test environments. Users save money through reduced resource requirements.
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Powerful and sophisticated automation tools for the creation of SAP system copies provide a remedy here and demonstrably make it possible, in addition to time and cost savings, to increase the process quality of system copying, for example, or to maintain it at a consistently high level. In effect, they free up SAP Basis.
For some time now, SAP customers have been supported in system copying by very powerful automation tools that can be used as needed, such as "Shortcut for SAP Systems". Nothing has to be installed in your SAP systems for this - no transport requests, no AddOns!
This often leads to special challenges due to a lack of resources or capacities.
But providing test data can also prove to be a challenge.