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http://hdl.handle.net/10362/67986Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.advisor | Neto, Miguel | - |
| dc.contributor.author | Schweigert, Jonas | - |
| dc.date.accessioned | 2019-04-29T15:16:06Z | - |
| dc.date.available | 2019-04-29T15:16:06Z | - |
| dc.date.issued | 2019-01-25 | - |
| dc.identifier.uri | http://hdl.handle.net/10362/67986 | - |
| dc.description.abstract | This study describes the basics of business intelligence, before it explains its standard framework. Subsequently, the paper outlines how Google Maps data can be exploited to create a dashboard in Power BI. Thereby, it applies a modified framework to a case study about venues (businesses, transportation infrastructure, and tourist attractions) in Lisbon, Portugal. Five different analysis are carried out: general KPIs, their correlation, an investigation about popular time as well as heat map and location analysis. This work concludes, that businesses and organizations of all kinds can use this information to identify trends and customer behavior to make data-driven decisions. | pt_PT |
| dc.language.iso | eng | pt_PT |
| dc.rights | openAccess | pt_PT |
| dc.subject | Business intelligence | pt_PT |
| dc.subject | Data | pt_PT |
| dc.subject | Dashboard | pt_PT |
| dc.subject | Decision-making | pt_PT |
| dc.title | From publicly available data to business decisions | pt_PT |
| dc.title.alternative | (on the example of Lisbon) | pt_PT |
| dc.type | masterThesis | pt_PT |
| thesis.degree.name | A Work Project, presented as part of the requirements for the Award of a Masters Degree in Management from the NOVA – School of Business and Economics | pt_PT |
| dc.identifier.tid | 202227090 | pt_PT |
| dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Economia e Gestão | pt_PT |
| Aparece nas colecções: | NSBE: Nova SBE - MA Dissertations | |
Ficheiros deste registo:
| Ficheiro | Descrição | Tamanho | Formato | |
|---|---|---|---|---|
| Schweigert_20919.pdf | 711,89 kB | Adobe PDF | Ver/Abrir |
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