20.500.12556/DKUM-84429 Development and optimisation of a business intelligence system master's thesis Razvoj in optimizacija sistema poslovne inteligence In the fast-paced business landscape, unexpected events can pose significant challenges for companies. A lot of times, business intelligence presents a solution for companies in dealing with changes and improving organizational efficiency. As part of this master’s thesis, we have developed a business intelligence system that assists in the planning of new releases of smartphone components. We have simulated data and created reports, which can help the stakeholders to plan and analyze important milestones easily. We have tested two different data structures and showed how star schema is the most beneficial data structure for our BI system. We achieved this by restructuring data into a star schema model at different stages of migration and then compared the size of data and responsiveness of operations. V hitro spreminjajočem se poslovnem okolju lahko nepričakovani dogodki predstavljajo velike izzive za podjetja. Pogosto lahko rešitev za izboljšanje organizacijske učinkovitosti in prilagajanja spremembam nudi uporaba poslovne inteligence. V okviru te magistrske naloge smo zato razvili sistem poslovne inteligence, ki pomaga pri načrtovanju novih izdaj komponent za pametne telefone. Simulirali smo podatke ter iz njih ustvarili poročila, ki lahko deležnikom pomagajo pri planiranju in analizi pomembnih mejnikov. Testirali smo dve podatkovni strukturi in prikazali, da je zvezdna shema najprimernejša za naš sistem poslovne inteligence. To smo dosegli z restrukturiranjem podatkov v model zvezdne sheme v različnih fazah migracije in nato primerjali velikost podatkov ter odzivnost operacij business intelligence star schema data modeling poslovna inteligenca zvezdna shema podatkovno modeliranje true true false [M. Žohar] Angleški jezik Slovenski jezik Magistrsko delo/naloga 2023-06-07 13:23:38 2023-06-27 09:38:46 2023-07-08 03:08:29 0000-00-00 00:00:00 2023 0 Maribor 0 Maribor 1 spletni vir (1 datoteka PDF (XVI, 68 f.)) 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.434:004.8(043.2) 158063363 MAG_Zohar_Mark_2023.pdf MAG_Zohar_Mark_2023.pdf 1 B2FA18F052206A70F095490494CA3D65 be875db111d0c88404292e2978dc763cdf7ac643f5ad322ec9e984c098d39e17 b7e5ade0-0527-11ee-ba9a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=167823 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0