Essays about: "insurance customer"

Showing result 21 - 25 of 63 essays containing the words insurance customer.

  1. 21. THE IMPACT OF THE INTERNET OF THINGS ON ESTABLISHED BUSINESS MODELS - A multiple case study of Swedish insurance companies

    University essay from Göteborgs universitet/Graduate School

    Author : Simon Emanuelsson; [2019-07-09]
    Keywords : Insurance; Internet of Things; IoT; Business Model; Business Model Canvas; Business Model Innovation;

    Abstract : The insurance industry has long been suffering from profitability and growth issues due to the increasing commoditization of insurance solutions, which has forced insurers to engage in destructive “premium wars”. Digitalization and technology advancements are only set to increase these pressures even further by shifting market boundaries and increasing the level of “digital sophistication” expected by customers. READ MORE

  3. 22. PSS Design in Practice - How a Choice Experiment Can Help Configuring a New Subscription Offer. The Case of Care by Volvo’s Used Car Subscription Offer

    University essay from Göteborgs universitet/Graduate School

    Author : Fabian Perktold; Moritz von Raczeck; [2019-07-09]
    Keywords : PSS Design; PSS Configuration; Servitization; Car Subscription; DCA; Discrete Choice Experiment; Choice-Based Conjoint; Customer Preferences; WTP;

    Abstract : Background and Purpose The automotive industry is facing huge challenges as the perception and utilization of cars is changing. As a result, many automotive companies are increasingly moving away from solely selling cars and starting to offer bundles of products and services (PSS) instead. READ MORE

  4. 23. Cluster analysis on sparse customer data on purchase of insurance products

    University essay from KTH/Matematisk statistik

    Author : Michel Alexander Postigo Smura; [2019]
    Keywords : ;

    Abstract : This thesis work aims at performing a cluster analysis on customer data of insurance products. Three different clustering algorithms are investigated. These are K-means (center-based clustering), Two-Level clustering (SOM and Hierarchical clustering) and HDBSCAN (density-based clustering). READ MORE

  5. 24. Evaluating Random Forest and a Long Short-Term Memory in Classifying a Given Sentence as a Question or Non-Question

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

    Author : Fredrik Ankaräng; Fabian Waldner; [2019]
    Keywords : Bag-of-Words; Chatbot; Classification; LSTM; Machine Learning; Natural Language Processing; Random Forest; Word2Vec;

    Abstract : Natural language processing and text classification are topics of much discussion among researchers of machine learning. Contributions in the form of new methods and models are presented on a yearly basis. However, less focus is aimed at comparing models, especially comparing models that are less complex to state-of-the-art models. READ MORE

  6. 25. Uplift Modeling : Identifying Optimal Treatment Group Allocation and Whom to Contact to Maximize Return on Investment

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Henrik Karlsson; [2019]
    Keywords : Causal Effect; Uplift Modeling; Class Transformation Method; Model Uplift Directly; Random Forest; XGBoost; Qini Curve; Qini Coefficient; Optimal Control Group Allocation;

    Abstract : This report investigates the possibilities to model the causal effect of treatment within the insurance domain to increase return on investment of sales through telemarketing. In order to capture the causal effect, two or more subgroups are required where one group receives control treatment. READ MORE