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Creating New Types of Business and Economic Indicators Using Big Data Technologies
Science Journal of Business and Management
Volume 3, Issue 1-1, February 2015, Pages: 18-24
Received: Nov. 7, 2014; Accepted: Nov. 29, 2014; Published: Dec. 27, 2014
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Péter Szármes, Multidisciplinary Doctoral School of Engineering Sciences, Széchenyi István University, Györ, Hungary
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Today, every business is a data business. Data is available from internal and external sources about transactions, processes, customers, competitors, trends, technological changes, etc. The challenge is to create actionable information and useful knowledge for the company. If companies are not leveraging their data assets, then competitors will outperform them. Big data technologies can provide a very efficient tool for the discovery of knowledge hidden in the company and its environment. Creating company specific indicators by analyzing large datasets can lead to valuable insights and better decisions. Big data technologies can also provide new and faster methods to calculate economic indicators (GDP figures, tax revenue forecasts, etc.). It can help the work of economic policy makers by reducing the latency of data that allows for timely intervention if necessary. It can also create new, not yet available information.
Indicators, Big Data, Business Analytics
To cite this article
Péter Szármes, Creating New Types of Business and Economic Indicators Using Big Data Technologies, Science Journal of Business and Management. Special Issue: The Role of Knowledge and Management’s Tasks in the Companies. Vol. 3, No. 1-1, 2015, pp. 18-24. doi: 10.11648/j.sjbm.s.2015030101.14
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This work was supported by the European Union and the European Social Fund through project (grant no.: TAMOP-4.2.2.C-11/1/KONV-2012-0013). "
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