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  4. Strategies for data analytics projects in business performance forecasting: a field study
 
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Strategies for data analytics projects in business performance forecasting: a field study

Journal
Journal of Management Control
ISSN
2191-4761
Type
journal article
Date Issued
2022-06
Author(s)
Schnegg, Maël  
Möller, Klaus  
DOI
doi.org/10.1007/s00187-022-00338-7
Abstract (De)
Data analytics is applied in various fields, including business performance forecasting, but companies struggle with its implementation. Following a cross-sectional field study approach, we make two contributions. First, we elaborate on the central role played by the head controller in generating trust in analytics solutions and thus, making the project successful. Second, we identify three patterns in the way companies plan, implement, and then use data analytics in the context of business performance forecasting. The two successful patterns are the ones that start with a limited but tangible objective (either in term of information precision, or rapidity of processing) that can be expended in a second time.
Language
English
Keywords
Data analytics
Performance
Forecasting
Field study
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Refereed
Yes
Publisher
Springer
Volume
33
Number
2
Start page
241
End page
271
Official URL
https://link.springer.com/article/10.1007/s00187-022-00338-7
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/108681
Subject(s)

business studies

Division(s)

SoM - School of Manag...

ACA - Institute of Ac...

Eprints ID
266647

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