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

Maël Schnegg () and Klaus Möller
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Maël Schnegg: University of St. Gallen
Klaus Möller: University of St. Gallen

Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, 2022, vol. 33, issue 2, No 5, 271 pages

Abstract: Abstract 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.

Keywords: Data analytics; Performance; Forecasting; Field study (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s00187-022-00338-7

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