Selection of Business Intelligence System Software as Decision Support: A Case Study

Year 2023, Volume: 03 Issue: 01, 19 - 28, 31.07.2023

Emir Hüseyin Özder , Erman Erkan

Abstract

Abstract
This study focuses on Business Intelligence (BI) systems and investigates their benefits in the matter of better decision making for corporations. BI systems are computer-based decision support tools that analyse business data and generate meaningful information in order to incorporate decision making. BI systems work in parallel with existing information systems of the companies. As a matter of fact, BI systems are the next steps to be established on existing operational information systems. In this context, the purpose of this study is to examine the yield of BI systems for the companies tended to implement decision support systems aligned with their operational information systems. To investigate this phenomenon, an empirical study will be conducted among some companies in production sector in Turkey. The companies’ actual implementations will be highlighted by the help of the questionnaire to be applied to those companies. Moreover, in the case study, BI system alternatives will be compared as per specifically defined criteria. In this manner, Multi criteria decision making approach will be used and Analytic Hierarchy Process (AHP) and Fuzzy AHP (FAHP) methods will be applied for the selection of the best alternative. Lastly, expected benefits and outcomes of proposed BI system will be estimated by taking into consideration of the facts and findings of the study.

Keywords

AHP, Fuzzy AHP, Decision Support Systems, Business Intelligence

Karar Desteği Olarak İş Zekası Sistem Yazılımının Seçimi: Bir Vaka Çalışması

Abstract

Bu çalışma, İş Zekası (İZ) sistemlerine odaklanmakta ve şirketler için daha iyi karar verme konusunda faydalarını araştırmaktadır. İZ sistemleri, iş verilerini analiz eden ve karar vermeyi dahil etmek için anlamlı bilgiler üreten bilgisayar tabanlı karar destek araçlarıdır. İZ sistemleri, şirketlerin mevcut bilgi sistemleri ile paralel çalışır. Nitekim İZ sistemleri, mevcut operasyonel bilgi sistemleri üzerine kurulacak sonraki adımlardır. Bu bağlamda bu çalışmanın amacı, operasyonel bilgi sistemleri ile uyumlu karar destek sistemlerini uygulama eğiliminde olan şirketler için İZ sistemlerinin getirisini incelemektir. Bu olguyu araştırmak için Türkiye'de üretim sektöründe faaliyet gösteren bazı şirketler arasında ampirik bir çalışma yapılmıştır. Firmalara uygulanacak çalışma ile firmaların fiili uygulamaları ortaya konulacaktır. Ayrıca vaka çalışmasında İZ sistem alternatifleri, özel olarak tanımlanmış kriterlere göre karşılaştırılacaktır. Bu doğrultuda Çok kriterli karar verme yaklaşımı kullanılacak ve en iyi alternatifin seçimi için Analitik Hiyerarşi Prosesi (AHP) ve Bulanık AHP (BAHP) yöntemleri uygulanacaktır. Son olarak, önerilen İZ sisteminin beklenen faydaları ve sonuçları, çalışmanın gerçekleri ve bulguları dikkate alınarak tahmin edilecektir.

Keywords

İş Zekası, AHP, Bulanık AHP, Karar Destek Sistemleri

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