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Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA) - 1

Service description

Experimental exploration of process data to identify patterns and anomalies using Buteo. The service offers experimental analysis of process data aimed at identifying patterns, variations, and anomalies using Buteo. The process combines statistical methods, visualization, and data-driven exploration to generate insight into process behavior and possible optimization opportunities. The purpose is to help companies better understand their data, detect deviations or inefficiencies, and create a qualified basis for further AI analysis, process optimization, or decision support in biosolutions and related industrial applications.
Expected results: Documented insights into data patterns, process variations, and anomalies, including recommendations for further analysis, optimization, or use of AI-based methods.
Methodology: The service is delivered as an experimental data analysis process including clarification of the data basis and analysis needs, exploration of process data using statistical methods and visualization in Buteo, and delivery of documented insights and recommendations for further analysis or optimization.
Target: Biosolutions, Biotechnological processes, Data-driven process optimization, Other emerging and enabling technologies, Industrial companies needing process analysis
  • Organisation: DTI
  • Type: experiment
  • SUT/E: Process data, statistical analysis methods, and visualization tools for pattern recognition, anomaly detection, and process understanding
  • Average duration: 1-5 weeks
  • Contact: uln@teknologisk.dk

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