Abstract
In this part of the book, current approaches to data science will be evaluated. In this context, what kind of applications the data science may have in the future will be evaluated. For this purpose, it is thought that companies will first have a new data analysis department. Thanks to this team, it is emphasized that companies will constantly analyze data and produce strategies based on these analysis results. On the other hand, it is concluded that social media will be more important in the future in data analysis. Moreover, these applications are expected to provide a very significant database for companies. In addition to these issues, companies are expected to use new data programs in the future. In this context, it is clear that companies that quickly adapt to these new applications will have a serious competitive advantage compared to others.
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- KNIME::
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Konstanz Information Miner
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Silahtaroğlu, G., Dinçer, H., Yüksel, S. (2021). Emerging Applications and the Future of Data Science. In: Data Science and Multiple Criteria Decision Making Approaches in Finance. Multiple Criteria Decision Making. Springer, Cham. https://doi.org/10.1007/978-3-030-74176-1_8
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DOI: https://doi.org/10.1007/978-3-030-74176-1_8
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Online ISBN: 978-3-030-74176-1
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