Siemens Immobilien

The space requirements for multinational corporations can often take on a dimension that in business management terms can only be properly managed by means of profit centers or separate business units.

Within the Siemens corporation, Siemens Real Estate is charged with this task. 2,400 employees at around 900 locations in 60 countries manage 48 million square meters of real estate. That is equivalent to roughly 6,400 soccer fields. 19 million square meters of indoor space are found on this property.

Access by analysis to 19 million square meters

The task consisted of making this massive property portfolio available ad hoc, and for it to be possible to gain a rapid view both of the whole portfolio and of part-portfolios. Furthermore, the positioning of the corporation's own property in free market competition had to be determined - differentiated according to key figures such as turnover, costs, fair market value, current and target yield, investments, surface area or currently empty property. For benchmarks, external market data (e.g. level of rents) needed to be introduced. All values needed to be able to be changed and forecasted in simulation, in order to explore future market opportunities and risks, and the strengths and weaknesses of the property.

Portfolio Master

The objectives were realized in an analytical controlling application on the basis of DeltaMaster that is operated by one or two members of staff per country. Beforehand, we had to demonstrate that the solution based on standard components could beat an alternative individual programming both in terms of costs and performance. The up-to-date availability of the results in the integrated data model, the combination of statistical and business economics methods and revolutionary Data Mining procedures proved to be indispensable pre-requisites for managing the gigantic portfolio under both optimization and risk aspects. The application has more than 1,000 key figures available for the task. Alongside the classic methods of time or cross table analysis, the modules for navigation, segmentation, profiling, association and classification are used.

Routine is automated, searches become a matter of course

"With Data Mining, DeltaMaster takes over a lot of routine steps," says Project Leader Birgit Jacobs, explaining the decision. "DeltaMaster is capable of finding unknown correlations by itself. This gave the system a clear advantage over other products." Jacobs describes the openness of the system as a further asset: "While other providers are more or less strongly geared to particular databases, DeltaMaster can work with just about any OLAP database, even SAP BW.

World-wide network

The data on the individual items of real estate are entered locally in the DeltaMaster Viewer via a terminal-server connection directly into the central database server. Content support and technical support take place from Siemens headquarters in Munich. The servers, on the other hand, are in a processing center in Erlangen, Germany. The full roll-out of the DeltaMaster application is taking place via the company network. This saves cost-intensive manual installation at the various locations.

"The Worldwide Centres Management met in January to review DeltaMaster. Again it demonstrated speed and agility and most were impressed with its ease of use. From my point of view a large thumbs' up for DeltaMaster!"

Peter Thomas, Senior Vice President

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