Business Intelligence - Implantation on Federal Institute of Triângulo Mineiro (IFTM) System

Ernani Damasceno, Ana Azevedo, Agostinho Pinto

Abstract

Every organization aims to perform the activities in an efficiently way at selling products and services to obtain profits. However, most of the times, there is not an effective project to support the company in the process management. Every information system (IS) must be efficient, supported by substantial and fast computer system and trained users to manipulate them without troubles. Based on this assumption, this paper aims to analyze possible vulnerabilities in the Federal Institute of Triângulo Mineiro (IFTM) system in order to implant a Business Intelligence (BI) system to help at decision making. It was noticed that the IFTM- Paracatu campus system does not have proper Analytics tools to help managers in the decision making. Thus, after a detailed survey of the necessity of the system, it was verified that the institute secretary module, named Academic Registration Control (ARC), has important failures, for example, delaying, inconsistent information and repetitive processes. As noted above, it was created a BI Data Mart on ARC module, in order to solve basic failures, such as: weak reports, inconsistent student records and lack of graphical analysis.

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Paper Citation


in Harvard Style

Damasceno E., Azevedo A. and Pinto A. (2018). Business Intelligence - Implantation on Federal Institute of Triângulo Mineiro (IFTM) System.In - A2E, ISBN , pages 0-0. DOI: 10.5220/0006818805280535


in Bibtex Style

@conference{a2e18,
author={Ernani Damasceno and Ana Azevedo and Agostinho Pinto},
title={Business Intelligence - Implantation on Federal Institute of Triângulo Mineiro (IFTM) System},
booktitle={ - A2E,},
year={2018},
pages={},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006818805280535},
isbn={},
}


in EndNote Style

TY - CONF

JO - - A2E,
TI - Business Intelligence - Implantation on Federal Institute of Triângulo Mineiro (IFTM) System
SN -
AU - Damasceno E.
AU - Azevedo A.
AU - Pinto A.
PY - 2018
SP - 0
EP - 0
DO - 10.5220/0006818805280535