THIS ARTICLE ADDRESSES THE APPLICATION OF BUSINESS INTELLIGENCE AND THE USE OF TECHNIQUES AND TOOLS IN BUSINESS ENVIRONMENTS AND HOW IT HAS SIGNIFICANTLY IMPROVED THE DECISION MAKING THAT IS CARRIED OUT IN ALL BUSINESS AREAS. HOWEVER, THERE ARE DIFFERENCES AND THERE IS A GAP BETWEEN THE APPLICATION OF THIS CONCEPT AT THE NATIONAL LEVEL AND AT THE INTERNATIONAL LEVEL. THIS ARTICLE ADDRESSES THE MAIN ACHIEVEMENTS AND RESULTS OBTAINED BY RESEARCH APPLIED TO BUSINESS INTELLIGENCE AT BOTH LEVELSF MENTIONED, HIGHLIGHTING THEIR PROCEDURES, METRICS, TOOLS AND RELIABILITY METHODS. 17 ARTICLES WERE IDENTIFIED BETWEEN THE YEARS 2016 AND 2023 USING THE PRISMA METHODOLOGY. THESE ARTICLES UNDERWENT A SYSTEMATIC REVIEW THAT ALLOWED US TO IDENTIFY EXISTING GAPS AND PROVIDE OPPORTUNITIES FOR IMPROVEMENT ACCORDING TO THE RESULTS OBTAINED. © 2024 LATIN AMERICAN AND CARIBBEAN CONSORTIUM OF ENGINEERING INST...

THE PROJECT PRESENTS THE DESIGN AND IMPLEMENTATION OF AN RPA SYSTEM FOR THE TEACHER QUALIFICATION PROCESS. THE MAIN GOAL OF THE PROJECT IS TO AUTOMATE AND IMPROVE THE ACCURACY OF THE GRADING PROCESS USING TECHNOLOGIES SUCH AS PDF FILE PROCESSING, GRADING ALGORITHMS, AND ARTIFICIAL INTELLIGENCE MODELS. THE PROJECT METHODOLOGY DESCRIBES THE RPA WORKFLOW, WHICH INCLUDES UPLOADING PDF FILES, CONVERTING TO EXCEL, ANALYZING EXCEL SHEETS, AND AUTOMATICALLY GENERATING RATING REPORTS. THE STUDY'S FINDINGS HIGHLIGHT THE IMPORTANCE OF AUTOMATION IN TEACHER QUALIFICATION AND THE POTENTIAL OF RPA TECHNOLOGIES TO IMPROVE THE EFFICIENCY AND QUALITY OF THIS PROCESS. FUTURE AREAS OF RESEARCH ARE SUGGESTED, SUCH AS INCORPORATING MACHINE LEARNING TECHNIQUES FOR CONTINUOUS SYSTEM IMPROVEMENT.. © 2024 LATIN AMERICAN AND CARIBBEAN CONSORTIUM OF ENGINEERING INSTITUTIONS. ALL RIGHTS RESERVED.