Open AccessIMPLEMENTATION OF A BUSINESS INTELLIGENCE TOOL FOR DYNA JOURNAL
Author(s) -
Aitor Goti,
Alberto De La Calle Vicente,
Aitor Oyarbide-Zubillaga,
Elisabete Alberdi,
Borja Torres Fuentes,
Irati Unanue Telleria,
Pablo García Bringas,
Ander Bacigalupe Gutierrez
Publication year - 2020
Publication title -
dyna
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.177
H-Index - 11
eISSN - 1989-1490
pISSN - 0012-7361
DOI - 10.6036/8609
Subject(s) - business intelligence , impact factor , identification (biology) , computer science , factor (programming language) , process (computing) , business process , data science , decision support system , process management , knowledge management , engineering , data mining , operations management , work in process , political science , botany , law , biology , programming language , operating system
Business Intelligence (BI) systems permit the access to and the analysis of the information to improve - optimize decision making processes in both agility and performance. This article presents the process of implementing a BI for the DYNA Magazine. This implementation responds to the interest of the journal to increase its impact factor (IF or Impact Factor) in the main impact lists of scientific journals. The tool developed allows the identification of top priority areas, fields, authors, reviewers, etc. and favors the support of decision-making when accepting or rejecting jobs, estimating the impact that they may have, selecting topics, etc.Keywords: Business Intelligence, Scientometrics, Improvement of Journal Impact Factor