Decision Making Analysis in Corporate Sectors Using the Concept of Big Data Analytics

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Abstract

Big data Analytics is one of the most common technology used by all kind of Organisations Worldwide. It has become a huge problem for all the organisations to store and process the massive data gathered. The main function of big data analytics is to collect, store, examine large amount of data to find the unseen patterns and unknown interrelationships according to the organisations requirement. In this internet era, the data is collected continuously and densely from multiple resources in every department of the organisations. The decision makers requires new methods and techniques to understand and analyse the massive data adequately before taking agile decisions. The achievement of the top management in taking strategic decisions depends on the characteristics of the information used. In this paper the role of big data analytics in decision making, theoretical framework of big data analytics, applications of big data analytics and decisions to data quadrants are discussed.

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Sheshasaayee, A., & Bhargavi, K. (2019). Decision Making Analysis in Corporate Sectors Using the Concept of Big Data Analytics. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 26, pp. 500–506). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-03146-6_55

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