Big data analytics in electronic markets

Big data analytics in electronic markets Electron Markets (2017) 27:243–245 DOI 10.1007/s12525-017-0261-6 PREFACE 1 2 3 Eric W. T. Ngai & Angappa Gunasekaran & Samuel Fosso Wamba & 4 5 Shahriar Akter & Rameshwar Dubey Received: 26 May 2017 /Accepted: 29 May 2017 /Published online: 9 June 2017 Institute of Applied Informatics at University of Leipzig 2017 The era of big data same amount of data can be created within two days (Sagiroglu and Sinanc 2013). In the past, the main challenge that businesses faced had to do with operating under conditions of data scarcity. Decision- making was subject to incomplete, insufficient, and time- lapsed data. However, such challenge no longer exists, given Big data in electronic markets the current exponential growth of data available to businesses. Instead, the challenge that businesses now face has to do with Businesses now have more data than they can effectively the sheer abundance of data. Up until 2003, only 5 exabytes use; as a result, a new critical issue is emerging: big data (1018 bytes) of data were available, whereas nowadays the analytics. The term big data refers to Bdata sets with sizes beyond the ability of common software tools to capture, curate, manage, and process the data http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Electronic Markets Springer Journals

Big data analytics in electronic markets

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Institute of Applied Informatics at University of Leipzig
Subject
Business and Management; IT in Business; e-Commerce/e-business
ISSN
1019-6781
eISSN
1422-8890
D.O.I.
10.1007/s12525-017-0261-6
Publisher site
See Article on Publisher Site

References

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