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Title:MERJENJE USPEŠNOSTI PRODAJNIH AKTIVNOSTI NA OSNOVI PROFILIRANJA IN SLEDENJA UPORABNIKOV PREKO STORITEV V OBLAKU
Authors:ID Kraut, Bojan (Author)
ID Brumen, Boštjan (Mentor) More about this mentor... New window
Files:.pdf MAG_Kraut_Bojan_2016.pdf (7,08 MB)
MD5: CDBABF148508D334460F22278ECF75C7
 
Language:Slovenian
Work type:Master's thesis
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V magistrski nalogi na kratko opišemo tehnologijo oblaka, ter velikih podatkov, ki so osnova za tehnološko platformo, s katero je bila naloga izvedena. Dotaknemo se razvoja mobilne tehnologije, ki nas dandanes spremlja že na vsakem koraku, in kako jo oglaševalci uporabljajo sebi v prid, ter tudi prihajajočih tehnologij, kot je obogatena resničnost ter nosljive tehnologije. Usmerimo se v televizijsko oglaševanje, profiliranje uporabnikov ter spremljavo gledanosti, ki jo je mogoče preko digitalne televizije spremljati, hkrati pa opišemo sistem za masovno zajemanje spletnega prometa ter poiščem korelacije med podatki gledanosti digitalne televizije in spletnim obiskom oglaševalcev. Zaključimo s predstavitvijo rezultatov merjenja in statistično analizo pridobljenih podatkov. Z vrednotenjem potrdimo, da je preko televizije mogoče spremljati gledalca ter mu celo ponuditi personalizirane reklame.
Keywords:marketing, televizijsko oglaševanje, personalizacija uporabnika, profiliranje uporabnika, veliki podatki, storitve v oblaku, spletna analitika, korelacije med podatki, prodaja
Place of publishing:[Maribor
Publisher:B. Kraut
Year of publishing:2016
PID:20.500.12556/DKUM-63580 New window
UDC:004.777:791.641043.2)
COBISS.SI-ID:19982358 New window
NUK URN:URN:SI:UM:DK:S7EXJSGP
Publication date in DKUM:14.11.2016
Views:1415
Downloads:197
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Measuring the effectiveness of sales activities on the basis of profiling and tracking trough of users trough the cloud services
Abstract:In this master thesis the cloud technology and big data are shortly described, both ground for the technical platform, which was used. We describe development of the mobile technology, which follows us today on every step and how it is used by advertisers. We also mention emerging technologies as augmented reality and wearables. Later We focus on television advertising, user profiling and ratings, which are collected automaticaly on digital television and describe the system for mass internet traffic collection where data is analysed for correlations between television advertisements and web traffic. We conclude with the results of measurements and statistical analysis of collected data. With evaluation of the data, we confirm, that it is possible to monitor an individual user and even offer personalized commercials.
Keywords:marketing, TV advertising, user personalization, user profiling, big data, cloud services, web analytics, data correlations, sales


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