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Journals / Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi / 2026 / Cilt: 19 Sayı: 35

Data, Big Data and Business Administration

VERİ, BÜYÜK VERİ VE İŞLETMECİLİK

Suat Atan(Bilgi Sistemleri Uzmanı, Tarım ve Kırsal Kalkınmayı Destekleme Kurumu/Bilgi Sistemleri Koordinatörlüğü, Ankara Üniversitesi/İşletme Bölümü/Doktora Öğrencisi)
Pages
137–154
Publication Date
2016-06-01
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The perspectives of corporates to data have also been evaluated

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The term of big data connotates the abundance of data and properties of it.
📊
Key Findings & Data:The big data can provide fruitful resources for the corporates.
💡
Conclusion & Impact:The perspectives of corporates to data have also been evaluated
🔬Design:Makale
📍Scope:Comprehensive Sample
⚙️Variables:Veri Madenciliği · Makine Öğrenmesi · Dev Veri

Abstract

The term of big data connotates the abundance of data and properties of it. However, after re-discovering the value of data, the term of big data reflects the new trend which includes new approaches and tools rather than the sophisticated methods. On the other words, big data is the constant rediscovering of data. The big data can provide fruitful resources for the corporates. Even it can be the core task of a corporate. By the way, in this study, the recent advances in the field and case studies have been discussed. The perspectives of corporates to data have also been evaluated

Özet

Büyük veri verinin miktarının çokluğu ve çeşitliliği çağrışımını yapsa da özünde verinin değerinin yeniden keşfi sonrasında geleneksel veri analizi perspektifi yerine yeni araç ve yaklaşımlarla aslında verinin yeniden keşfedilmesini ifade eden trendin adıdır. Büyük veri işletmeler için çok ciddi bir kaynak teşkil edebilir hatta işletmelerin bizzat işi haline dönüşebilir. Bu çalışmada Büyük veri trendine kadar gerçekleşen son gelişmeler ve işletmeler ile ilişkisi ele alınacaktır

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Cite This Article

Atan, S. (2016). Data, Big Data and Business Administration. Balıkesir Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, Cilt: 19 Sayı: 35, 137–154. https://doi.org/10.31795/baunsobed.645312

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