Industrie 4.0

Data analytics for the fourth industrial revolution, such as proactive service and maintenance of production resources or finding anomalies in production processes.



Data-driven aspects of medicine are explored, such as the need-driven care of patients or IT controlled medical technology.


Smart Infrastructure

Untersuchung datengetriebener Aspekter städtischen Lebens, bspw. der Verkehrssteuerung, der Müllentsorgung oder der Katastrophenbewältigung, bedarfsgesteuerte Optimierung von Verbrauchsmodellen, basierend auf Daten intelligenter Stromzähler.

Featured Projects

  • SDSC BW: sales forecasts of shape and colour

    A better planning for the use of materials in the production of furniture was the aim of the potential analysis of the furniture manufacturer Vitra and the SDSC-BW. The challenge for the company’s product forecast was the wide range of colours and materials. The SDSC-BW experts developed a predictive model based on the sales figures of the previous year to find hidden information and patterns in the data.

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  • SDSC-BW: Presciently increasing the energy efficiency

    Air needs high expenditure of energy for its compression – to improve the energy efficiency of the necessary compressed air systems is a big issue for the company Mader, manufacturer of compressed air systems. With the support of SDSC-BW, the company has started smart data analysis of its data to explore previously undiscovered patterns.

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  • STEP

    Smart Technician Mission Planning (STEP)

    The research project “Smart Technician Mission Planning ” (STEP) aims to simultaneously increase the efficiency of technician assignments and the availability of machinery. Several project partners will work on the simulation model that allows to evaluate individual measures quantitatively based on real dispatching operation data.

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    Analyze of user behavior based on web protocol data using the example of

    Statistical statements based on website visit logs such as the click-through rate, that means the number of clicks on listed offers in proportion to the total visits on the website, are strongly distorted by the dominating bot-share among the users. Price comparison sites such as need to segment users of their website into homogeneous groups to calculate precise and reliable business metrics from those groups.

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  • SDSC-BW: Networking Knowledge

    Building a technology referral service is a complex venture. The demands on smart technologies and continuous evaluation are very high and require a well-established methodology. Coral Innovation, a young startup of the University of Stuttgart, implements just such a service and was supported by the experts from SDSC-BW.

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