Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10362/37040Registo completo
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.advisor | Neto, Miguel | - |
| dc.contributor.author | Neves, João Miguel Rodrigues Martins e | - |
| dc.date.accessioned | 2018-05-15T14:03:41Z | - |
| dc.date.available | 2019-01-20T01:30:33Z | - |
| dc.date.issued | 2018-01-20 | - |
| dc.identifier.uri | http://hdl.handle.net/10362/37040 | - |
| dc.description.abstract | “Business intelligence (BI) is a broad category of applications, technologies, and processes for gathering, storing, accessing, and analysing data to help business users make better decisions.”1 Organisations pursue these activities most often to build competitive advantage or improve the customer experience and it’s, undeniably, expected to have a positive impact on company revenues, margins, and organizational efficiency.2 This work project, Analysis of Lisbon Startups’ Business Intelligence Capabilities, intends to clarify the relationship between the usage of current Business Intelligence & Analytics tools and the success of business enterprises, using three different startups based in Lisbon as case studies to illustrate that: Aptoide, Misk, and Tiger Time. | pt_PT |
| dc.language.iso | eng | pt_PT |
| dc.rights | embargoedAccess | pt_PT |
| dc.subject | Business intelligence | pt_PT |
| dc.subject | Analytics | pt_PT |
| dc.subject | BI&A | pt_PT |
| dc.subject | Startups | pt_PT |
| dc.subject | Aptoide | pt_PT |
| dc.subject | Misk | pt_PT |
| dc.subject | Tiger time | pt_PT |
| dc.title | Analysis of Lisbon startups’ business intelligence capabilities | 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 | 201864762 | 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 | |
|---|---|---|---|---|
| Neves_2018.pdf | 718,45 kB | Adobe PDF | Ver/Abrir |
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