Primjena poslovne inteligencije u akademskom okruženju

scientific master's theses

• Title (english): Application of business intelligence in academic environment
• Author: Mihaela Vranić
• Mentor: Zoran Skočir (mentor)
• Committee member: Mirta Baranović (član povjerenstva)
• Committee member: Zoran Skočir (član povjerenstva)
• Committee member: Dragan Gamberger (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Telecommunications); Zagreb
• Defense date and country: 2007-07-05, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Artificial Intelligence
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing; Information Systems
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing ; 005 - Management

Abstract

Unutar svake organizacije, pa tako i na visokoškolskim ustanovama, vrlo je bitno kvalitetno upravljati znanjem što omogućava prilagodbu novim okolnostima te stalna unapređenja različitih procesa i aktivnosti. Sustavi poslovne inteligencije omogućuju efikasnu sintezu i prenošenje znanja. Kao takvi omogućuju zaposlenicima na svim razinama unutar organizacije bolji uvid u čimbenike koji utječu na njihov segment poslovanja i donošenje boljih odluka. U radu je predstavljena teoretska podloga kreiranja organizacijskog znanja. Ona je isprepletena s cjelokupnim procesom dubinske analize podataka te povezana sa sustavima poslovne inteligencije, od faze njihovog planiranja do faze intenzivnog korištenja sustava. Značajni segmenti poslovne inteligencije su različite statističke analize i dubinska analiza podataka. U radu je prikazano kako se ove analize mogu iskoristiti za unapređenje specifičnog područja djelovanja visokoškolske ustanove – u nastavi. Poseban je naglasak dan na mogućnost unapređenja izvođenja nastave, poboljšanja testiranja studenata te potencijalnog povećanja prolaznosti bez snižavanja kriterija ocjenjivanja. Također su dani prijedlozi proširenja modela podataka koji bi omogućili otkrivanje novih zakonitosti i daljnja poboljšanja.

Abstract (english)

For every organization, including universities, it is very important to efficiently govern with knowledge. This enables adoption to new circumstances and improvement in different processes and business related activities. Business intelligence systems enable efficient creation and transfer of knowledge. They enable employees at every organizational level to have better view of factors affecting their business and make better decisions. This thesis introduces theoretical background of organizational knowledge creation. Presented theory is interlaced with data mining process and further related to business intelligence systems, from their planning phase to phase of their extensive usage. Important segments of business intelligence are various statistical analysis same as data mining. This thesis presents how could these segments play important role within specific ‘business’ area at universities – improvement of teaching related activities. Focus has been put particularly on efficiency of the teaching process, objectivity at student’s work evaluation and potential improvement in student passing rate without reduction in grading criteria. At the end, proposals for data model extension were given, thus enabling better insight in real world rules same as further improvements.

• Keywords: znanje; stvaranje organizacijskog znanja; poslovna inteligencija; dubinska analiza podataka; segmentacija; regresijska analiza; stabla odlučivanja; kvaliteta nastave
• Keywords (english): knowledge; organizational knowledge creation; business Intelligence; data mining; clustering; regression analysis; decision trees; quality in education
• Language: croatian
• URN:NBN: urn:nbn:hr:168:259080
• Study programme: Title: Postgraduate master programe in computing; Study programme type: university; Study level: postgraduate; Academic / professional title: magistar inženjer računarstva (magistar inženjer računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2020-03-28 09:20:51