HOW TO EXPLOIT THE POTENTIAL IN PRODUCTION USING DATA ANALYSIS
Data analysis is essential in companies as it enables data-driven decision making.
By systematically analyzing their data, companies can make informed decisions and improve their performance. Data analysis helps companies increase their operational efficiency while reducing costs. By optimizing processes and resource utilization based on data, companies can reduce waste and increase productivity.
Immerse yourself in the future of the manufacturing industry! Our impulse event “Increasing potential with data manufacturing analytics” offers manufacturing companies an insight into innovative solutions for data utilization.
It is already becoming apparent that data analytics is reshaping the landscape of manufacturing companies and is developing into a decisive competitive factor. In fact, manufacturing companies collect a lot of data, but it is only used and evaluated insufficiently. Despite advances in analytical techniques, companies are therefore faced with the challenge of fully exploiting the potential of their data.
In our impulse event we give you an exclusive insight into the latest scientific findings for the manufacturing industry:
- Extensive study: We summarize the most important findings from the Manufacturing Data Analytics 2023 study with over 150 participants from the roof space for you.
- Successful examples: Learn what differentiates the pioneers in the field of manufacturing data analytics and what advantages this brings.
- Company contribution: Gain valuable insights that help define a manufacturing data analytics strategy and implementation.
February 27, 2024
5:00 p.m. – 6:30 p.m
The event is held in collaboration with the University of St.Gallen .
Tanja Koch, M.Sc.
Tanja Koch is responsible for business development at the Swiss manufacturing analytics startup, EthonAI. After completing her Master’s degree in Mechanical Engineering at ETH Zurich, she built up the go-to-market strategy in various startups.
Marcos Padrón Hinrichs, M.Sc.
Marcos heads the Quality Insights research group and is a doctoral student at the Machine Tool Laboratory WZL at RWTH Aachen University. His research focuses on data-driven process optimization and quality assurance during production start-up. He completed his studies in business administration and mechanical engineering at RWTH Aachen University with a master’s degree.
Lorenzo Pirrone
Lorenzo Pirrone is a research associate at the Institute of Technology Management at the University of St.Gallen. During his studies as an industrial engineer, Lorenzo was able to gain numerous experiences abroad and also worked in a lean consultancy for years. After working in the automotive and chemical industries, he is now doing his doctorate in the field of production management on the topics of lean and digitalization.
At this event we will provide an initial insight into the topic. To delve deeper into the topic and work on specific use cases for your own company, we recommend our training day .
Only through efficient and continuous data analysis will your full potential become visible.
Registration
- The registration deadline is February 23, 2024
- The event will take place with a minimum of 10 participants
