Essays about: "datakvalitet"
Showing result 1 - 5 of 32 essays containing the word datakvalitet.
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1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE
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2. Evaluating Data Quality for behavioural event data using semiotic theory : Analysing how data roles perceive Data Quality and how it is influenced by Data Quality awareness and experience
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today companies are handling and producing big data. To maximise the value of the data, companies need to achieve high data quality (DQ), and be able to measure it. This study analyses if semiotic framework is suitable to asses DQ for big data, specifically for behavioural event data. READ MORE
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3. Exploring AI in Swedish E-commerce: A Qualitative Study on Factors Influencing AI Implementation and its Challenges
University essay from Lunds universitet/Institutionen för informatikAbstract : This thesis focuses on the adoption of AI within e-commerce in Sweden. A qualitative approach was adopted, interviewing professionals working in the e-commerce sector. Results were presented using the Technology-Organization-Environment (TOE) framework. READ MORE
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4. Aligning Business Intelligence initiatives with business strategies : Identifying alignment challenges and mitigators in SMEs
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : Purpose: The purpose of this study is to enrich the literature, by increasing the understanding of how business intelligence (BI) initiatives can be aligned with the business strategy in small and medium enterprises (SMEs). Thus, prior research is insufficient in terms of BI and IT alignment research in SMEs. READ MORE
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5. Data-driven process improvement in production : A Master Thesis carried out at Scania CV
University essay from KTH/ProduktionsutvecklingAbstract : The manufacturing industry is currently in its fourth paradigm shift, commonly referred to as Industry 4.0. As a part of this shift, the importance of collecting production data is ever increasing, due to its potential value. READ MORE