Pregled bibliografske jedinice broj: 1272215
Open-source information – the basis for business intelligence (BI)
Open-source information – the basis for business intelligence (BI) // Informatologia (Zagreb), 55 (2022), 3-4; 201-218 doi:10.32914/i.55.3-4.2 (domaća recenzija, prethodno priopćenje, znanstveni)
CROSBI ID: 1272215 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Open-source information – the basis for business
intelligence (BI)
(Informacije iz otvorenih izvora - osnova za
poslovno-obavještajnu djelatnost)
Autori
Lucić, Danijela
Izvornik
Informatologia (Zagreb) (1330-0067) 55
(2022), 3-4;
201-218
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni
Ključne riječi
information from open sources ; open-source intelligence ; OSINT ; business intelligence ; BI ; social knowledge
(informacije iz otvorenih izvora ; obavještajne informacije iz otvorenih izvora ; OSINT ; poslovno-obavještajno djelovanje ; BI ; društveno znanje)
Sažetak
The paper discusses the relationship between business intelligence (BI) and intelligence discipline based on information from open sources, better known as OSINT (open-source intelligence). The importance of the intelligence methodology – the intelligence cycle – is emphasized, which presupposes planning, systematic collection of information, its processing and analysis, and dissemination to end users. The goal is, ultimately, to make a business decision based on the knowledge. The development of BI and OSINT is discussed as well as the ideas that emerged in the 1970s when the importance of intelligence logic in the sphere of economy, and in society in general, was pointed out. Given the lack of empirical examples, the paper points out at the normative level that successful business is possible by relying on business intelligence (BI) and open- source information (OSINT), assuming the possession of analytical capacities, above all human and technological, which are capable to extrapolate the information necessary for a quality business decision from the immeasurable amount of data.
Izvorni jezik
Engleski
Znanstvena područja
Sociologija
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus
Uključenost u ostale bibliografske baze podataka::
- Information Science Abstracts