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Data-driven decision-making options for less tech-savvy users

Year: 2024

Type: conference-paper

Source: IEEE International Scientific Conference on Informatics (Informatics)

DOI: 10.1109/informatics62280.2024.10900909

Authors: Miroslav Potočár, Michal Kvet

Institution: University of Žilina

Language: English

Topic: Big Data and Business Intelligence

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Erasmus+

OpenAlex ID: W4408258633

FWCI:

Cites: 16

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Related to: 10