State of the Art of Business Analytics for Enterprise Transformation Steering

Benedict Lösser ()
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Benedict Lösser: Institute of Information Systems and Digital Business, University of St. Gallen

A chapter in Technology-Driven Transformation, 2025, pp 289-305 from Springer

Abstract: Abstract As Enterprise Transformations (ETs) pose significant challenges for companies, it is crucial to steer these resource-intensive endeavors rigorously. However, there is a substantial gap between ET’s operational implementation and their steering committees. While existing literature suggests comprehensive information factors to support ET steering, the extent to which these factors are applied in practice and standardized through business analytics remains unclear. This manuscript aims to analyze the current state of business analytics in ET steering through a descriptive interview study. Our findings reveal that these concepts have been utilized only to a limited extent in practice, particularly for context and ET process-related factors. We further highlight and advocate for the increased adoption and implementation of specific business analytics for ET steering, addressing information gaps and enhancing decision quality. This research contributes to the discourse on ET steering by demonstrating the practical applications and benefits of business analytics in improving ET decision-making processes.

Keywords: Transformation steering; Business analytics; Interview study (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-032-01396-5_17

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DOI: 10.1007/978-3-032-01396-5_17

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