Big Data Valuation

Roberto Moro-Visconti ()
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Roberto Moro-Visconti: Catholic University of the Sacred Heart
Authors registered in the RePEc Author Service: Roberto Moro Visconti

Chapter Chapter 13 in The Valuation of Digital Intangibles, 2022, pp 401-423 from Springer

Abstract: Abstract Big data consists of the computerized collection of vast amounts of data, processed with algorithms in sequential software, to be classified and stored to feed interoperable databases and decision-making processes. Data are an increasingly worthy asset, and they reduce information asymmetries, soften conflicts of interest, and mitigate risk (as far as they reduce the difference between continuously updated expected outcomes and reality). The impact on product and process innovation, know-how, patentable inventions, and digital marketing intangibles (trademarks, mobile apps, web domains, etc.) represents a sharp discontinuity in business models, allowing for scalable extra returns. The economic potential is still mostly unexplored, in terms of improving business planning accuracy.

Keywords: Internet of Things (IoT); Artificial intelligence; Internet; Cloud; Digital platform; Supply chain; Value chain; Budgeting; Business plan; Real options; Information; Database; Analytics as a Service (AaaS); Social network; Data scientist; Data mining (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-09237-4_13

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DOI: 10.1007/978-3-031-09237-4_13

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