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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.

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Medicine

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

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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: Dynamic Machine Planning with Smart Data Technologies

    During the production process at the automotive supplier Erdrich Umformtechnik GmbH, various data accumulate at different times. These come, for example, from the machine used, their equipment or the origin of a component (manufacturer, batch). For the SDSC BW experts, the company provided the data of the whole process that are generated during and after the production from MES and ERP over a period of 1.5 years at the Thuringian production site.

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  • SDSC-BW: Smart data analyzes on sensor data support the production of packaging solutions

    HHard film products are produced via so-called calenders, large heated or cooled rolls, through which the raw material is passed. In this investigation, the focus was on the data of such calender systems, equipped with rotation and temperature sensors on the rollers. For the smart data analysis of the Smart Data Solution Center Baden-Württemberg (SDSC-BW), the hard-film manufacturer Bilcare collected high-resolution sensor values from different calenders over a period of six months and made these available to the data analysts.

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  • billiger.de

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

    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 billiger.de 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: In search of unknown correlations

    Nowadays at Fuchs Schmierstoffe GmbH, a modern production of oils and lubricants is inconceivable without information technology. The resulting data are worth gold: they provide information about the product itself (in the resource planning system – ERP) and about the materials used (in the process control system – PLS). To achieve the desired product quality, it is important to monitor and control the complex process at various points.

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  • SDSC BW: The appropiate algorithms for Big Data

    Every day Echobot Media Technologies GmbH analyzes millions of texts from websites, social media and news sites for its customers. These analyses help, for example, with marketing, sales or the optimization of public relations. In order to analyze digital contents, Echobot first has to perform an automatic classification of the recorded texts.

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