Self Service Business Intelligence - Available BI solution for small on-line sales business

Thesis title: Self Service Business Intelligence - návrh dostupného BI řešení pro malé společnosti v oblasti on-line prodeje
Author: Řehout, Michal
Thesis type: Diplomová práce
Supervisor: Stanovská, Iva
Opponents: Kosina, Pavel
Thesis language: Česky
Abstract:
Práce analyzuje a navrhuje přístup k implementaci self-service Business Intelligence řešení ve společnosti podnikající v oblasti online marketingu. Analýza se zaměřuje na datové zdroje, informační potřeby ve společnosti a rešerše vhodných produktů pro implementaci. Cílem práce je dle provedené analýzy navrhnout kroky nutné pro úspěšnou implementaci řešení a demonstrovat možnosti, které z takového řešení společnosti vyplývají.
Keywords: Lead Generation; Business Intelligence; QlikSense; Data-mining; Self-service
Thesis title: Self Service Business Intelligence - Available BI solution for small on-line sales business
Author: Řehout, Michal
Thesis type: Diploma thesis
Supervisor: Stanovská, Iva
Opponents: Kosina, Pavel
Thesis language: Česky
Abstract:
The thesis analyzes and proposes stance on how to implement self-service Business Intelligence solution in a company involved in online marketing. Analysis is focused on data sources, information needs in the company and research of suitable product to be implemented. Goal of the thesis is, based on the performed analysis, to propose actions needed for a successful implementation, and to demonstrate opportunities, that such an implementation may provide to the company.
Keywords: QlikSense; Data-mining; Self-service; Business Intelligence; Lead Generation

Information about study

Study programme: Aplikovaná informatika/Podniková informatika
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Information Technologies

Information on submission and defense

Date of assignment: 10. 3. 2014
Date of submission: 1. 12. 2014
Date of defense: 4. 2. 2015
Identifier in the InSIS system: https://insis.vse.cz/zp/47515/podrobnosti

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