Search for dissertations about: "data driven decisions"

Showing result 1 - 5 of 96 swedish dissertations containing the words data driven decisions.

2. 1. Data-driven Innovation : An exploration of outcomes and processes within federated networks

   Author : Aya Rizk; Anna Ståhlbröst; Ahmed Elragal; Birgitta Bergvall-Kåreborn; Oliver Müller; Luleå tekniska universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; Data-driven innovation; analytics; innovation process; federated networks; data science; taxonomy; Information systems; Informationssystem;

   Abstract : The emergence and pervasiveness of digital technologies are changing many aspects of our lives, including what and how we innovate. Industries and societies are competing to embrace this wave of digitalization by developing the right infrastructures and ecosystems for innovation. READ MORE

4. 2. Data-driven decision support in digital retailing

   Author : Dirar Sweidan; Ulf Johansson; Beatrice Alenljung; Anders Gidenstam; Högskolan i Skövde; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; Digital Retailing; Decision Support; Probabilistic Prediction; Calibration; Product Returns; Customer Churn; Binary Classification; Scikit-Learn;

   Abstract : In the digital era and advent of artificial intelligence, digital retailing has emerged as a notable shift in commerce. It empowers e-tailers with data-driven insights and predictive models to navigate a variety of challenges, driving informed decision-making and strategic formulation. READ MORE

5. 3. How can data science contribute to a greener world? : an exploration featuring machine learning and data mining for environmental facilities and energy end users

   Author : Dong Wang; Mats Tysklind; Johan Trygg; Lili Jiang; Venkat Venkatasubramanian; Umeå universitet; []
   Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Wastewater treatment; Process analytics; Big data; Machine learning; Interpretable AI; Power plants; Failure analysis; Data mining; Buildings; Energy consumption; Anomaly detection;

   Abstract : Human society has taken many measures to address environmental issues. For example, deploying wastewater treatment plants (WWTPs) to alleviate water pollution and the shortage of usable water; using waste-to-energy (WtE) plants to recover energy from the waste and reduce its environmental impact. READ MORE

6. 4. From Data to Decision Support in Manufacturing

   Author : Maja Bärring; Chalmers tekniska högskola; []
   Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; standards; Industry 4.0; Smart Manufacturing; manufacturing system lifecycle; data-driven decision-making; 5G; digitalization; interoperability;

   Abstract : Digitalization is changing society, industry, and how business is done. For new companies that are more or less born digital, there is the opportunity to use and benefit from the capabilities offered by the new digital technologies, of which data-driven decision-making forms a crucial part. READ MORE

7. 5. A data-driven decision support system for coherency of experts’ judgment in complex classification problems : The case of food security as a UN sustainable development goal

   Author : Rueben Laryea; Kenneth Carling; Lena Nerhagen; Högskolan Dalarna; []
   Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Coherence; Efficiency; Decision Support System; Multi-Criteria; Risk; Classification Model; Decision Makers; Judgment; Alternatives; Prediction; Data; Integrate; Imprecision; Food Security; UTADIS; Complex Systems – Microdata Analysis; Komplexa system - mikrodataanalys;

   Abstract : Everyday humans need to make individual or collective decisions. Often the decisions aim at achieving multiple goals (thus involving multiple criteria) and rely on the decision maker(s)’ intuition, internal data, as well as external sources of data. READ MORE