Analysis and Comparison of Business Intelligence Tools Most Preferred by Companies in Turkey

Author:

OZDEMİR Murat1ORCID,ÜLKÜ Eyüp Emre2ORCID,YILDIZ Kazım2ORCID

Affiliation:

1. MARMARA ÜNİVERSİTESİ, FEN BİLİMLERİ ENSTİTÜSÜ

2. MARMARA ÜNİVERSİTESİ, TEKNOLOJİ FAKÜLTESİ, BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ

Abstract

With the development of technology and the increase of the data sources, the size and variety of data collected from these sources has increased considerably. Thus, individuals and institutions have become able to store more data. However, it has become an important need to make meaning from this large and valuable data and transform into information and has become more complex. Business intelligence applications ensure that different types of data collected from different data sources are clustered and separated in a certain order and it provides the creation of reports by establishing a semantic relationship between these stored data. The aim of this study is identifying the business intelligence tools preferred by companies in Turkey. It is also aimed to give ideas to institutions and individual users so that they can choose the right business intelligence tool. Within the scope of the study, first of all, the general definition of business intelligence and the business intelligence applications preferred by the companies in Turkey in recent years are mentioned. Afterwards, the information obtained from the scanned scientific studies are analyzed and the findings are presented and then Afterwards, these tools were compared with the tables and it was aimed to give an idea to individuals and institutions. Scientific studies are very important in terms of revealing the current status of these business intelligence tools and seeing what kind of studies they can be used in the future.

Publisher

Balkan Journal of Electrical & Computer Engineering (BAJECE)

Subject

General Medicine

Reference29 articles.

1. [1] H. Ates “Karar Vermede İş Zekasının Önemi: Tekstil Sektöründe Bir Araştırma”,T.C. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü İşletme Anabilim Dalı Üretim Yönetimi ve Endüstri İşletmeciliği Programı Yüksek Lisans Tezi, 2008

2. [2] S.Y. Pazarçeviren, Ü. Zor, F. Gürbüz. “İş Zekâsı: Kavramsal Çerçeve, Bileşenler ve İşleyiş” , Siyaset, Ekonomi ve Yönetim Araştırmaları Dergisi , Yıl:3, Cilt:3, 2015, Sayı:1

3. [3] M. Sucu. "Karar Destek Sistemleri ve İş Zekâsı Uygulamalarının İşletmeler Açısından Önemi: Bir Literatür Araştırması" Pamukkale Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Sayı 44, Denizli, ss., 2017, 261-283.

4. [4] E. Ayçin., H. Aşan. “İş zekası uygulamaları seçimindeki kriterlerin önem ağırlıklarının FUCOM yöntemi ile belirlenmesi”. KOCATEPEİİBFD, 23(2), 2021, 195-208

5. [5] M. Damar, G. Özdağoğlu, A. Özdağoğlu. “İş Zekasını ve İlgili Teknolojileri Konu Alan Araştırmalara Küresel Ölçekte Bilimetrik Bakış” , BEYDER / 2018, 13:2 (197-218).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3