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Business & Information Systems Engineering
Published in: Business & Information Systems Engineering 2/2017

20-12-2016 | Editorial

Business Analytics and Data Science: Once Again?

Authors: Martin Bichler, Armin Heinzl, Wil M. P. van der Aalst

Published in: Business & Information Systems Engineering | Issue 2/2017

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Excerpt

“Everything has already been said, but not yet by everyone”. We wouldn’t be surprised if the title of this editorial reminds you of this famous quote attributed to Karl Valentin. Business Analytics is a relatively new term and there does not seem to be an established academic definition. Holsapple et al. (2014) write, “a crucial observation, on which the paper is based, is that ‘the definition’ of analytics does not exist”. They describe Business Analytics as “evidence-based problem recognition and solving that happen within the context of business situations”, and also highlight that mathematical and statistical techniques have long been studied in business schools under such titles as Operations Research and Management Science, Simulation Analysis, Econometrics, and Financial Analysis. However, their article shows that the availability of large data sets in business has made these techniques much more important in all fields of management. …
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Literature
Holsapple C, Lee-Post A, Pakath R (2014) A unified foundation for business analytics. Decis Support Syst 64C(August):130–141CrossRef
Van der Aalst W (2016) Process mining: data science in action. Springer, HeidelbergCrossRef
Metadata
Title
Business Analytics and Data Science: Once Again?
Authors
Martin Bichler
Armin Heinzl
Wil M. P. van der Aalst
Publication date
20-12-2016
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering / Issue 2/2017
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-016-0461-1

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