Sökning: "data-driven business analysis"

Visar resultat 1 - 5 av 75 uppsatser innehållade orden data-driven business analysis.

  1. 1. Mellan fri vilja och datadriven exploatering: En studie om drivkrafter, medvetenhet, makt och ansvar inom onlinecasinomarknaden

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Daniel Bengtsson; Lisa Hägglund; [2024-02-12]
    Nyckelord :marknadsföringsstrategier; onlinecasino; konsumentbeteenden;

    Sammanfattning : This essay examines the limits of marketing strategies in the online casino industry, focusing on how data-driven and advanced marketing practices influence consumer behavior and contribute to problematic gambling consumption. By observing the online casino industry, the study identifies how companies use sophisticated data analysis methods and psychological techniques to attract and retain customers, raising significant ethical and social issues. LÄS MER

  3. 2. Business Intelligence and Analytics – a key driver for efficient production? : An empirical study in the food industry

    Master-uppsats, Karlstads universitet

    Författare :Simon Dahlström; Erik Hasslid; [2023]
    Nyckelord :Fact-based Decision Making; Efficient Production; Food Industry; BI A;

    Sammanfattning : Organizational decisions are significant to an organizations' future. Research shows that many organizations tend to make decisions based on previous experiences, ‘gut feeling’ and assumptions rather than facts. This is troubling since decision-makers leave the organization’s future to the hands of chance. LÄS MER

  4. 3. Data-Driven Decision-Making In Small Organizations : A qualitative study in optimizing BI deployment in Vasaloppet

    Kandidat-uppsats, Karlstads universitet/Handelshögskolan (from 2013)

    Författare :Felix Höglund; [2023]
    Nyckelord :Data-driven decision-making; business intelligence; small organizations;

    Sammanfattning : Organizations are social systems established to make decisions. Modern organizational decision-making is complex and can easily overwhelm the capacity of individuals. Because of the complexity of multi-person decisions, there is a big risk for uncertainty in decision-making. LÄS MER

  5. 4. Performance Benchmarking and Cost Analysis of Machine Learning Techniques : An Investigation into Traditional and State-Of-The-Art Models in Business Operations

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Lundgren; Sam Taheri; [2023]
    Nyckelord :Artificial Intelligence AI ; Machine Learning; Big Data; Natural Language Processing NLP ; Pre-Trained BERT; Fine-Tuned BERT; TF-IDF; Logistic Regression; Support Vector Machine SVM ; Cloud GPU; Operating Costs; Performance Efficiency; Business Intelligence;

    Sammanfattning : Eftersom samhället blir allt mer datadrivet revolutionerar användningen av AI och maskininlärning sättet företag fungerar och utvecklas på. Denna studie utforskar användningen av AI, Big Data och Natural Language Processing (NLP) för att förbättra affärsverksamhet och intelligens i företag. LÄS MER

  7. 5. From Data to Dollars: Unraveling the Effect Data-Driven Decision-Making Has on Financial Performance in Swedish SMEs

    Kandidat-uppsats, Jönköping University/Internationella Handelshögskolan

    Författare :Elliot Stowe; Emilia Heidar; Filip Stefansson; [2023]
    Nyckelord :Data-Driven Decision-Making; DDDM; Big Data Analytics; SMEs; Financial Performance;

    Sammanfattning : Background: Data-driven decision-making (DDDM) has emerged as a primary approach to decision-making in many organizations. It uses data and analytics to guide decision-making processes and can lead to better business outcomes. LÄS MER