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  4. For What It’s Worth: A Multi-industry Survey on Current and Expected Use of Big Data Technologies
 
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For What It’s Worth: A Multi-industry Survey on Current and Expected Use of Big Data Technologies

Rossi, E.
•
Rubattino, C.
•
Viscusi, Gianluigi  
Themistocleous, M.
•
Rupino da Cunha, P.
January 16, 2019
Information Systems - 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings

This article discusses the results of a multi-industry and multi-country survey carried out to understand the needs, requirements, and use of big data and analytics by public and private organizations in decision-making, business processes and emerging business models. In particular, these issues are analyzed in specific industries where big data exploitation may have not only an economic value but also and an impact on social value dimensions such as, e.g., public and personal safety. Furthermore, the survey aims at questioning the characteristics of big data ecosystems in different and specific domains, thus identifying existing or potential barriers to the development of new data-driven industrial sectors along the big data information value chain. Finally, the authors have identified three key challenges (big data efficiency, effectiveness, and accessibility) to classify the survey results that showed low utilization rate of the data collected, lack of right tools and capabilities, the low rate of digital transformation of the companies as the key concerns for the respondents.

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Type
book part or chapter
DOI
10.1007/978-3-030-11395-7
Author(s)
Rossi, E.
Rubattino, C.
Viscusi, Gianluigi  
Editors
Themistocleous, M.
•
Rupino da Cunha, P.
Date Issued

2019-01-16

Publisher

Springer International Publishing

Published in
Information Systems - 15th European, Mediterranean, and Middle Eastern Conference, EMCIS 2018, Limassol, Cyprus, October 4-5, 2018, Proceedings
ISBN of the book

978-3-030-11395-7

Total of pages

72-79

Start page

XVIII, 562

Series title/Series vol.

LNBIP; 341

Subjects

Big data

•

Big data technologies

•

Big data use

•

Survey

Written at

EPFL

EPFL units
CSI  
Available on Infoscience
January 16, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/153481
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