diplomsko delo
Jure Zih (Author), Dušan Gleich (Mentor), Igor Vrečko (Mentor), Simona Sternad (Co-mentor)

Abstract

V diplomskem delu opisujemo platformo za poslovno inteligenco na pametnih telefonih Databox. Predstavili smo zadnje trende in najpogosteje uporabljena orodja tako v segmentu tradicionalne poslovne inteligence kot tudi za sodobne rešitve. Platformo smo v celoti konfigurirali in pripravili za povezovanje s podatki, kasneje pa izdelali tudi vmesnik, ki je vzorčne podatke posredoval v platformo. Podrobneje smo opisali spletni vmesnik platforme in mobilno aplikacijo, ter varnost podatkov s katerimi platforma upravlja. Na koncu smo prikazali primer implementacije rešitve v podjetju, od namestitve, do večjega števila aktivnih uporabnikov.

Keywords

poslovna inteligenca;databox;mobilna poslovna inteligenca;pametni telefoni;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: J. Zih
UDC: 621.395.721.5:[004.434:004.8](043.2)
COBISS: 19404822 Link will open in a new window
Views: 1523
Downloads: 48
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Other data

Secondary language: English
Secondary title: Business intelligence on smartphones with the use of the Databox platform
Secondary abstract: The thesis describes the platform for business intelligence on smartphones Databox. We presented the last trends and most popular tools, in both the segment of traditional business intelligence and with some modern solutions. We have completely configured the platform and prepared it to connect with data, and later developed an interface that sent sample data to the platform. In a detailed overview, we described the web interface and the mobile application, and described the security of the data that are being handled by the platform. At the end, we showcased the implementation of the solution in a real company, from the installation phase, to a larger group of active users.
Secondary keywords: business intelligence;databox;mobile business intelligence;smartphone;
URN: URN:SI:UM:
Type (COBISS): Undergraduate thesis
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Elektrotehnika, Gospodarsko inženirstvo
Pages: XI, 63 f.
ID: 9079400