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    • Institute of Bioenergy and Resource Efficiency
    • Institute of Business Engineering
    • Institute of Electric Power Systems
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    • Institute of Mathematics and Natural Sciences
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    • Laboratories of the School of Engineering and Environment

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  • Artificial intelligence in Engineering
Artificial intelligence in Engineering

Digitalization and Intelligent Business Processes, FHNW School of Engineering and Environment

School of Engineering and Environment


We develop intelligent business processes and digital solutions by applying advanced digital analytics and machine learning algorithms.

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In the context of digital transformation and the rapid evolution of key technologies, existing (“as-is”) business processes are systematically analyzed using IT-based methods. These insights form the foundation for designing innovative and efficient target (“to-be”) processes.

The optimization of existing processes and the development of new business models are based on a holistic perspective, ensuring effective interaction between people, technology, and organization.

Our Competencies

In process data analysis and digital process transformation, we apply the following methods and management approaches:

  • Process Mining (Data Mining and Business Process Management)

  • Operations Management

  • Business Intelligence

  • Machine Learning Algorithms

Your Added Value

  • Increased transparency across your process landscape

  • Data-driven decision-making

  • Higher operational efficiency and reduced costs

  • Sustainable competitive advantage through intelligent digital processes

School of
Engineering and Environment FHNW University of Applied Sciences and Arts Northwestern Switzerland

  • About the School
    • FHNW School of Engineering and Environment
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    • IT Support
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    • Webmail
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