Essays about: "Datadrivet beslutsfattande"
Showing result 1 - 5 of 7 essays containing the words Datadrivet beslutsfattande.
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1. Implications of Analytics and Visualization of Torque Tightening Process Data on Decision Making : An automotive perspective
University essay from KTH/ProduktionsutvecklingAbstract : In recent years, there is an increased focus on integrating digital technologies in industrial processes, also termed ”Industry 4.0”. Out of the many challenges for the transition, one is to understand how to find useful insights from data collected over large periods of time, predominantly in industrial IT systems. READ MORE
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2. Unlocking the Potential of Business Intelligence in HR: Assessment of how maturity is to be developed : A case study
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The rise of technology and digitalization has greatly impacted organizations, particularly in the field ofHuman Resources (HR). To stay competitive in this evolving landscape, HR departments are increasingly adopting Business Intelligence (BI) as a useful umbrella concept to collect, store, access, and analyze data for data-driven decision-making. READ MORE
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3. Improving Change Point Detection Using Self-Supervised VAEs : A Study on Distance Metrics and Hyperparameters in Time Series Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis addresses the optimization of the Variational Autoencoder-based Change Point Detection (VAE-CP) approach in time series analysis, a vital component in data-driven decision making. We evaluate the impact of various distance metrics and hyperparameters on the model’s performance using a systematic exploration and robustness testing on diverse real-world datasets. READ MORE
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4. Development of an Information System for Deviation Handling of Products in Manufacturing
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Industries are heading towards implementing Industry 4.0 standards to increase their operational efficiency. Digital system integration and data-driven decision-making are some of the key areas to focus on in Industry 4.0. READ MORE
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5. Comparative Analysis of Machine Learning Methods for Predicting Property Prices and Sale Velocities in the Real Estate Industry
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The real estate industry is one of the largest industries in the world and using data-driven decision-making has been shown to increase companies’ profitability. A technique to apply data-driven decision-making is machine learning. READ MORE