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Intellectual Capital, Smart Technologies and Digitalization pp 107–117Cite as

Big Data and Business Analytics: Definitions and Implications in the Business Environment

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Part of the book series: SIDREA Series in Accounting and Business Administration ((SSABA))

Abstract

The growing complexity of the business environment forces companies to be able to make decisions rapidly and effectively. This requires knowing how to manage internal processes and making sure that data support decisions. The strategic use of data not only supports cost reduction and increased efficiency but also allows us to reveal new opportunities by facilitating the emergence of hidden or unknown paths. For example, the analysis of hundreds of demographic and health variables may help predict the risk associated with hospital admission (Valentini, 2017) or prevent injuries in professional footballers (Davenport, 2006). Broadly speaking, the fields of possible applications of big data (BD) and business analytics (BA) are practically immeasurable.

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Author information

Authors and Affiliations

  1. Department of Management, Ca’ Foscari University of Venice, Venice, Italy

    Marisa Agostini

  2. Department of Economics and Business Sciences, University of Cagliari, Cagliari, Italy

    Alessandro Spano

Authors
  1. Marisa Agostini
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  2. Alessandro Spano
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Corresponding author

Correspondence to Marisa Agostini .

Editor information

Editors and Affiliations

  1. Department of Management, Università Politecnica delle Marche, Ancona, Italy

    Maria Serena Chiucchi

  2. Department of Law and Economics of Productive Activities, Sapienza University of Rome, Rome, Italy

    Rosa Lombardi

  3. Faculty of Law, University of Teramo - Campus “Aurelio Saliceti”, Teramo, Italy

    Daniela Mancini

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Agostini, M., Spano, A. (2021). Big Data and Business Analytics: Definitions and Implications in the Business Environment. In: Chiucchi, M.S., Lombardi, R., Mancini, D. (eds) Intellectual Capital, Smart Technologies and Digitalization. SIDREA Series in Accounting and Business Administration. Springer, Cham. https://doi.org/10.1007/978-3-030-80737-5_8

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