Prediktivna analiza prodaje

master's thesis

• Title (english): Predictive sales analysis
• Author: Tena Bokulić
• Mentor: Robert Manger (mentor)
• Committee member: Robert Manger (predsjednik povjerenstva)
• Committee member: Ilja Gogić (član povjerenstva)
• Committee member: Marko Horvat (član povjerenstva)
• Committee member: Vanja Wagner (član povjerenstva)
• Granter: University of Zagreb; Faculty of Science; (Department of Mathematics); Zagreb
• Defense date and country: 2021-09-30, Croatia
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Mathematics

Abstract

U diplomskom radu prikazana je i objašnjena izrada prediktivnih modela u prodaji kako bi organizacije mogle predvidjeti ponašanje kupaca u budućnosti. Za stvaranje modela vrlo je bitna prediktivna analitika koja postaje nezaobilazna u analizi postojećih podataka i predviđanju budućnih nepoznatih događaja. Definira se pojam prediktivne analitike kao sastavnog dijela digitalizacije, opisan je postupak implementacije prediktivne analitike u poslovanje i navedene metode koje prediktivna analitika primjenjuje u svojim izračunima. Kroz studijski primjer izrade prediktivnog modela prodaje ustanovljeno je kako velika količina podataka zajedno s analitikom može ponuditi organizacijama brojne mogućnosti za poboljšanje poslovne učinkovitosti.

Abstract (english)

The thesis presents and explains the development of predictive models in sales so that organizations can predict customer behavior in the future. For the creation of the model, predictive analytics is very important, which becomes indispensable in the analysis of existing data and the prediction of future unknown events. The concept of predictive analytics as an integral part of digitalization is defined, the process of implementing predictive analytics in business is described and the methods that predictive analytics apply in its calculations are listed.

• Keywords: prediktivna analitika; digitalizacija; poslovna učinkovitost
• Keywords (english): predictive models in sales; predictive analytics; digitalization
• Language: croatian
• URN:NBN: urn:nbn:hr:217:813610
• Study programme: Title: Mathematics and Computer Science Education; specializations in: Mathematics and Computer Science Education; Course: Mathematics and Computer Science Education; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra edukacije matematike i informatike (magistar/magistra edukacije matematike i informatike)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2021-10-25 11:30:52