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Riza Öztürk

    Data-driven decisions in enterprises - implications for business education and cases
    Statistik für Ökonomen
    Sustainability innovations in times of crisis
    • Das Buch richtet sich an diejenigen, die Statistik in wirtschaftswissenschaftlich orientierten Studiengängen studieren. Der leicht verständliche Text ist mit vielen Beispielen und Übungen ergänzt. Die praxisnahe Darstellung der Methoden wird durch die Erklärung und Anwendung der Statistikprogramme R (open source Progamm) und SPSS vervollständigt. Im Text sind für beide Programme viele Programmanweisungen enthalten. Die Autoren haben kompakt alle elementaren statistischen Verfahren für die Ökonomie anschaulich erklärt.

      Statistik für Ökonomen
    • In our world, where information and communication technologies are reshaping and continuing to shape every field, it is clear that enterprises that can follow the flow of information, grind the information they collect in information mills, and provide intelligence by using their internal and external information, can adapt to changing conditions in a timely and effective manner in proportion to its power. At this point, the aim is to automate the realization of this whole process to the greatest possible extent. In this context, the important developments in the last 20 years have been focusing on business intelligence, big data, deep learning, reinforcement learning, data intelligence, decision intelligence, automated decision-making, and other concepts and the development of application tools. From this point of view, under the title of “Data-driven decisions in enterprises – implications for business education and cases,” papers collected from various universities worldwide are included in this conference proceedings.

      Data-driven decisions in enterprises - implications for business education and cases