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Virtualizing environments provides more space for optimization

In a study, VMS compares how SAP is used in various operating types, from the classical in-house use to outsourcing in the form of a dedicated environment up to outsourcing in a dynamic, virtualized environment.

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Landscape Planning

The trend to consolidation and centralization is continuing unabated, spurred on by virtualization and the free-fall of communication costs. This is accompanied by massive changes in SAP landscapes.

SAP is also spurring changes.

The SOA concept and the new SAP releases are no longer based on a singular ERP system. Instead, they are based on a network of special applications such as ERP, BW, APO, CRM, SRM, XI and portals, along with archiving systems, and communications servers, and other applications.

Once an architecture is introduced, it is difficult to alter. In spite of SOA, the degree of mutual dependencies is extremely high, and the requirements that there be no downtimes go the rest of the way to make changes more difficult.

All of that increases the need for forward-looking landscape planning.

Technical or organizational changes have to be assessed not only with reference to investments, but with respect to the follow-on costs as well.

You need to know how the costs can be changed by the steps you plan to take. At the same time, you create a basis at the planning stage that will remain valid over the long term. That way, you don’t even have to look for cost-savings potential later. To do that, you need an instrument that forecasts the effects on costs and on the quality of SAP operations.

Our procedure is based not only on abstract projections; the VMS method is based on the VMS Benchmark base which is made up of more than 2,100 measured SAP systems. On the basis of these systems, and with the help of complex mathematical modelling processes, we then are able to offer reliable suggestions.

The forecasts on the consequences of planned measures are thus based on the data from real SAP landscapes – with unparalleled reliability.