delo diplomskega seminarja
Manuela Fekonja (Author), Igor Perko (Mentor)

Abstract

Glavna tema diplomskega seminarja je primerjava med orodjem poslovne inteligence in specifičnimi poslovnimi potrebami. Analiza je predstavljena na Microsoftovem orodju SQL Server 2012 in potrebami vodje informatike. V teoretičnem delu diplomskega seminarja so v celoti predstavljene potrebe po poslovnem obveščanju in naloge vodje informatike, na katere sem se osredotočila. Potrebe poslovnega obveščanja je potrebno razumeti, da lahko preidemo v naslednje poglavje diplomskega seminarja, kjer so predstavljeni poslovni obveščevalni sistemi in orodje SQL Server 2012, ki je zastavljeno tako, da lahko vodja informatike svoje naloge z njegovo pomočjo kar najbolje opravi. Predstavljene so tudi funkcije, ki jih je Microsoft dodal ali izboljšal v svoji najnovejši različici orodja SQL Server.

Keywords

poslovno obveščanje;informatika;sistemi;podatki;vodja;napovedi;analiza;grafi;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM EPF - Faculty of Economics and Business
Publisher: [M. Fekonja]
UDC: 659.23:004.658
COBISS: 11805468 Link will open in a new window
Views: 1682
Downloads: 120
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Other data

Secondary language: English
Secondary title: Business intelligence tools in SQL Server 2012
Secondary abstract: The main topic of this graduate seminar is a comparison between a business inteligence tool capatibilities and specific business need. The analysis is implemented on a case of Microsoft SQL Server 2012 and the CIO informational needs. In the theoretical part of the thesis the CIO's tasks and subsequently his need is necessary for the next chapter of the thesis, in which the business intelligence systems concepts and tools are presented. The SQL Server 2012 business intelligence services are elaborated which is planned to be the head of their IT functions with the help of his best place. Special focus is set to the features that Microsoft has added or improved in its latest version.
Secondary keywords: Business intelligence systems;data warehouses;CIO;OLAP cube;predictive analysis;PivotChart;
URN: URN:SI:UM:
Type (COBISS): Final seminar paper
Thesis comment: Univ. v Mariboru, Ekonomsko-poslovna fak.
Pages: 38 str.
ID: 8729798