Management of analytics-as-a-service - results from an action design research project. Issue 1 (2nd January 2020)

• Record Type: Journal Article
• Authors: Dremel, Christian; Stoeckli, Emanuel; Wulf, Jochen
• Is Part Of: Journal of Business Analytics. Volume 3:Issue 1(2020)
• Page Start: 1
• Page End: 16
• Publication Date: 2020-01-02
• Subjects: Portfolio management -- analytics-as-a-service -- descriptive analytics -- predictive analytics -- prescriptive analytics -- machine learning -- artificial intelligence; Business intelligence -- Periodicals; Management -- Statistical methods -- Periodicals; Decision making -- Statistical methods -- Periodicals; 658.403
• DOI: 10.1080/2573234X.2020.1740616
• Languages: English
• ISSNs: 2573-234X

Abstract

ABSTRACT: The ability to generate business-relevant information from data and to exploit it to improve business processes, decision-making, products, and services (business analytics) is a key success factor for businesses today. Answering the call for further research on success-relevant practices and instruments for managing business analytics, we report on the results of a three-year action design research (ADR) project at a global car manufacturer. Drawing on the socio-technical systems theory, we identify seven meta-requirements and specify four principles for the design of an instrument to manage Analytics-as-a-Service (AaaS) portfolios. Our results reinforce the importance of coordinating different socio-technical components in business analytics initiatives and demonstrate how concrete management instruments, such as a proposed portfolio management tool, contribute to socio-technical alignment. For practitioners, the documented design components provide guidance on how to design and implement similar instruments that support the systematic management of AaaS portfolios.