BIG DATA IN MANAGEMENT OF METAL SECTOR ENTERPRISES

1 JELONEK Dorota
Institution:
1 Faculty of Management, Czestochowa University of Technology, Czestochowa, Poland, EU, jelonek@zim.pcz.pl
Conference:
26th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 24th - 26th 2017
Proceedings:
Proceedings 26th International Conference on Metallurgy and Materials
Pages:
1991-1996
ISBN:
978-80-87294-79-6
ISSN:
2694-9296
Published:
9th January 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
21 views / 11 downloads
Abstract

Big Data is related to data sets which exceed the capacity of traditional data processing systems and enforces significant changes in the data analysis approach. Changes in the analysis of Big Data relate to: the ability to analyze large amounts of data, readiness to deal with unstructured data, and rising importance of correlations. Big Data Analytics (BDA) may show new relations between data, reveal unseen earlier trends and contribute to the creation of new knowledge, which can then be used to create value. The aim of this paper is to identify the areas of metal sector enterprise areas where bid data analytics can be effectively used and to formulate recommendations for the effective implementation of big data analytics projects. The aim was achieved using the desk research methodology and interviews with managers of large metal sector enterprises. The results of the study justified the efficiency of the use of big data analytics (BDA) in management of metal sector enterprises in the areas of customer relationship management, creation of value, creation of innovations and production management.

Keywords: Big Data, Big Data Analytics (BDA), metal sector enterprises, Big Data Analytics in management
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