Essays about: "Kunddata"

Showing result 6 - 10 of 28 essays containing the word Kunddata.

  1. 6. Synthetic Data Generation Using Transformer Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Pedro Campos; [2021]
    Keywords : Transformer; Synthetic Data; Text Generation; Deep Learning; Tabular Data; Transformator; Syntetisk data; Textgenerering; Djupinlärning; Tabelldata;

    Abstract : One of the areas propelled by the advancements in Deep Learning is Natural Language Processing. These continuous advancements allowed the emergence of new language models such as the Transformer [1], a deep learning model based on attention mechanisms that takes a sequence of symbols as input and outputs another sequence, attending to the input during its generation. READ MORE

  3. 7. The Extent of Customer Data : A study of creating value from customer data for the finance department.

    University essay from Uppsala universitet/Företagsekonomiska institutionen

    Author : Ida Limbäck; Semer Said Yahya; [2021]
    Keywords : Customer data; Customer loyalty; Cross-functional teams; Finance-department; Decision-making; Predicting; Value creation.; Beslutsfattande; Finansavdelning; Förutsägelser; Kunddata; Kundlojalitet; Tvärfunktionella team; Värdeskapande;

    Abstract : Among the diverse perspectives of value creation throughout history, recent studies imply that CFOs and finance officials can contribute to a holistic value creation process by integrating different business values. Therefore, this study aims to research whether the current dilemma of intangible assets (customer data) plays an important role in financial activities to lead to business value creation. READ MORE

  4. 8. Design of a system for visualizing trends and behaviors based on customer data

    University essay from Linköpings universitet/Interaktiva och kognitiva system

    Author : Oskar Andersson; [2021]
    Keywords : BI; Business Intelligence; Business Inteligence; Busines Intelligence; Power BI; Power Platform; Tableau; Qlik; Qlik View; Qlik Sense; power bi; power platform; bi; business intelligence; big data; Big Data; aggregation; aggregate; customer value; solution xperts; visualize data; visual data; visualizing data; visualise data; visualising data; visual data;

    Abstract : Big amounts of data are produced every day in companies. By analyzing and visualizing the data a lot of insights can be gained. The company Solution Xperts wanted to create a system that could import and visualize Big Data. In this work a system was created and evaluated. READ MORE

  5. 9. Synthesis of Tabular Financial Data using Generative Adversarial Networks

    University essay from KTH/Matematisk statistik

    Author : Anton Karlsson; Torbjörn Sjöberg; [2020]
    Keywords : Generative Adversarial Networks; GAN; Generative Modeling; Tabular data; Financial data; Machine Learning; Statistical learning; Applied Mathematics; GANs; Generativa modeller; Tabulär data; Finansdata; Maskininlärning; Statistisk inlärning; Tillämpad Matematik;

    Abstract : Digitalization has led to tons of available customer data and possibilities for data-driven innovation. However, the data needs to be handled carefully to protect the privacy of the customers. Generative Adversarial Networks (GANs) are a promising recent development in generative modeling. READ MORE

  6. 10. Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Einar Bremer; [2020]
    Keywords : Machine Learning; Data Science; Neural Networks; Recurrent Neural Networks; Random Forest; Autoencoder; Long Short Term Memory;

    Abstract : The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. READ MORE