State of the Art of Business Analytics for Enterprise Transformation Steering
Journal
Lecture Notes in Information Systems and Organisation
ISSN
2195-4968
ISBN
978-3-032-01396-5
Type
book section
Date Issued
2025
Author(s)
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.
Language
English (United States)
Keywords
Transformation steering
Business analytics
Interview study
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
Technology-Driven Transformation
Publisher
Springer Nature Switzerland
Volume
79
Start page
289
End page
305
Event Title
itAIS 2024
Event Location
Piacenza, Italy
Division(s)
File(s)![Thumbnail Image]()
restricted
Name
Manuscript_BA for Transformation Steering_R1.pdf
Type
Main Article
Size
330.06 KB
Format
Adobe PDF
Checksum (MD5)
5bdda726a539339a38ee289efbf45e3e