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Napovedovanje zvestobe strank pri podaljševanju veljavnosti prometnih dovoljenj
ID SAJOVIC, BARBARA (Author), ID Vavpotič, Damjan (Mentor) More about this mentor... This link opens in a new window

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Abstract
Diplomska naloga opisuje razvoj modela za napoved zvestobe strank pri podaljševanju veljavnosti prometnih dovoljenj. V ta namen je bila, glede na značilnosti strank, izvedena analiza, razvit model pa naj bi podjetjem prinesel nove, koristne informacije o najustreznejših marketinških aktivnostih. V uvodu sta predstavljena problematika področja in pomen zvestobe strank za podjetja, sledi navedba uporabljenih metod, tehnologij in orodij, uporabljenih v raziskavi. V poglavju razvoj modela so opisane strukture podatkov ter analize. V vsakem poglavju so prikazani uporabljeni parametri, način pridobivanja le-teh, rezultati in ugotovitve glede ustvarjenega modela. V poglavju sklepnih ugotovitev so navedeni rezultati ter možnosti izboljšav za nadaljnje raziskave.

Language:Slovenian
Keywords:zvestoba kupcev, podatkovno rudarjenje, logistična regresija, prometno dovoljenje
Work type:Bachelor thesis/paper
Organization:FRI - Faculty of Computer and Information Science
Year:2019
PID:20.500.12556/RUL-111246 This link opens in a new window
COBISS.SI-ID:1538393283 This link opens in a new window
Publication date in RUL:26.09.2019
Views:982
Downloads:195
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Secondary language

Language:English
Title:Predicting customer loyalty in case of extending registration certificate
Abstract:
The topic of this thesis is the development of a model that predicts customer loyalty in case of extending registration certificate. The goal was to conduct an analysis that would bring some new and useful information to companies, which could then make the most appropriate marketing decisions based on the characteristics of their clients. First we give a description of theoretical backgrounds, methods, technologies and tools used in the process of developing this method. In each chapter we describe the parameters used in the method, how we obtained them, the results and conclusions. Lastly we present the findings of the thesis with conclusions and possible improvements.

Keywords:customer loyalty, data mining, logistic regression, registration certificate

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