DATA SCIENCE, SOLUTION FOR MANAGERIAL DECISION WITHIN BUSINESS MODELS

Marian-Sorin Ionescu

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2019, vol. 13, issue 1, 386-398

Abstract: The stages to be completed in the business processes approached using the data science concepts and paradigms have a very clearly defined functional structure. The identification and evaluation by algorithms and automated procedures of the data models, underlying the informational approach, the development of creative processes generating higher added value are all are operational and strategic developments specific to the business models approached. Understanding the processes generated in their informational integrity, but also in the depth of the functioning mechanisms is a factor that sets the projects for data extraction, transforming them into alternatives of system analysis, minimizing the risk and human decision, possibly erroneous and generating future errors. Viewed as a whole or the process of data extraction, the final target of the fidding models is fragmented into a set precisely defined under tasks, especially useful in understanding the concepts and paradigms used in approaching information processes and analyzing data in their complexity and dimensionality. In the business models operational and strategically implemented for the economic organizations the tasks of data extraction and analysis have common general characteristics but also particularities of the main object of economic activity rendered.

Keywords: business model; data mining; data science; decision. (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:13:y:2019:i:1:p:386-398

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