20.500.12556/DKUM-64269 PRIMERJAVA PROGRAMOV ZA ANALIZIRANJE VELIKIH PODATKOV PRI ODLOČANJU ZA POTROŠNIŠKI KREDIT V BANKI X COMPARISON OF PROGRAMS FOR ANALYZING BIG DATA IN DECISION MAKING FOR CONSUMER CREDIT IN THE BANK X V diplomskem projektu Primerjava programov za analiziranje velikih podatkov pri odločanju za potrošniški kredit v banki X, smo želeli raziskati področje analiziranja statističnih podatkov velikih količin. Za primerjavo smo si izbrali dve orodji in sicer orodje Microsoft Excel in orodje IBM SPSS. Orodje Microsoft Excel je med mnogimi uporabniki znan po svojih funkcionalnostih urejanja preglednic, zmogljivosti mnogih funkcij, ustvarjanju preglednih grafov ter vrtilnih tabel. Le malokdo pa pozna funkcionalnosti Microsoft Excela v povezavi s statistično obdelavo podatkov. V diplomskem projektu smo naredili pregled orodja, bolj natančno pa smo se posvetili funkcionalnostim statistične obdelave. Drugo izbrano orodje je orodje IBM SPSS. Orodje je do sedaj znano predvsem v družboslovnih krogih, za statistično analiziranje. Orodje omogoča mnoge funkcije, ki so potrebne za uspešno analizo. V diplomskem projektu smo najprej opisali osnovne značilnosti orodja, nato pa smo se bolj posvetili funkcijam statistične obdelave, po katerih smo primerjali obe orodji. V obeh orodjih smo delali na realnih podatkih o kreditojemalcih banke X. Banka X nam je pred začetkom analize posredovala podatke iz njihove baze, mi pa smo te podatke uredili v bolj smiselno celoto. Nato smo podatke uvozili v obe orodji in začeli z analizo. V diplomskem projektu smo si postavili tri hipoteze, ki se nanašajo na uporabniško izkušnjo, funkcionalnostmi v obeh orodjih in na končni rezultat analize. In the diploma thesis project Comparison of Programs for Analysing Big Data in Decision Making for Consumer Credit in the Bank X, we wanted to research the field of statistical analysing of big data. We chose two tools for comparison – Microsoft Excel and IBM SPSS. We knew that the tool Microsoft Excel is known for its spreadsheet functionalities, use of functions, creating graphs, and pivot tables, amongst his many users. However, only few knows it for its functionalities regarding the statistical data processing. In this diploma thesis, we did a quick overview of the tool's basic functionalities, however, we took closer look at the tool’s statistical functionalities. The second tool we selected for comparison was IBM SPSS. This tool is mostly known for statistical analysing in social sciences. The tool has many functions that are needed for successful analysis. In this diploma thesis, we firstly described the tool's basic functionalities. After that we also took a closer look at tool's statistical functionalities, and we compared both tools. In both tools, we analysed the real-life data of credit borrowers in the bank X. The bank X gave us the data from their database and then we edited those data in more meaningful way. After that, we imported data in both tools and started with the analysis. In the diploma thesis, we predicted three hypotheses, regarding the users’ experience, functionalities in both tools, and final results of analysis. Velike količine podatkov Deskriptivna statistika Korelacije Microsoft Excel IBM SPSS Primerjava Big data Descriptive statistics Correlation Microsoft Excel IBM SPSS Comparison true true false [B. Vodišek] Slovenski jezik Angleški jezik Delo diplomskega projekta/projektno delo 2016-09-26 00:47:12 2016-11-24 13:12:41 2022-07-05 03:06:45 2019-07-11 13:55:57 2016 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.6 12613148 URN:SI:UM:DK:8NPVWWDV UN_Vodisek_Betka_2016.pdf UN_Vodisek_Betka_2016.pdf 1 3BF2B9DCEEC22908DC6C6AB0E36682BB ddff9ecc3e135f3c26d94c8693c57728f583348de09de1b996539a3c157d31fa a4626f8c-7c0d-11eb-bb7a-00155d0001ca https://dk.um.si/Dokument.php?lang=slv&id=106284 Ekonomsko-poslovna fakulteta 0 0 0