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    Analyzing the Corporate Business Intelligence Impact: A Case Study in the Financial Sector
    (Mdpi, 2025) Yetgin, Serap Akcan; Altas, Hilal
    Business intelligence is the process and methods that enable businesses to effectively analyze large amounts of data and transform it into meaningful information, helping to increase efficiency and productivity in businesses, thus enabling businesses to gain competitive advantage. In this context, business intelligence improves data management and decision-making processes and plays a critical role in strategic management. The main purpose of this study is to analyze the transition process of business intelligence solutions in financial institutions in detail, to increase efficiency in reporting processes, and to optimize decision-making processes. The study examines the 'Cheque Report', which reports the status of cheques in XY Financial Institution. Within the scope of the study, the transition process to business intelligence in the financial institution examined the 'Cheque Report' in three stages: in the first stage, reports were prepared manually; in the second stage, they were prepared with PL/SQL, and in the last stage, they were prepared with a business intelligence solution, and their outputs were compared. As a result, it was observed that with the use of business intelligence, fast and direct access to reports, data security, freedom from person dependency, and efficiency in internal information sharing are provided.
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    Öğe
    INTEGRATED FUZZY MULTI-CRITERIA DECISION MAKING APPLICATION WITHIN AN ENVIRONMENTAL EVALUATION FRAMEWORK: A CASE STUDY IN TURKIYE
    (Univ Cincinnati Industrial Engineering, 2024) Tai, Mehmet Ali; Yetgin, Serap Akcan
    The selection process of eligible suppliers in supply chains entails numerous challenges under rapidly evolving conditions. Environmental considerations in public discourse, competitive market structures, and emerging technological capabilities influence the decision-making procedures. Rather than the conventional criteria of cost and service, different criteria have more recently been taken into consideration. In this study, presenting a Turkish case study, environmental management, environmental agility and environmental technology dimensions and the criteria related to these dimensions are defined. A fuzzy SWARA-BWM method was implemented in an integrated way to cope with the supplier selection problem. Different scenarios were created and benchmarked. The results of the study indicate that environmental agility is the prominent dimension, while the most significant criterion is delivery speed. The optimal supplier alternative among the four alternatives was identified as A(3). This study was carried out to contribute to the examination and modeling of supply chain management issues.