Data Is Key: AUDI 'S Journey to Data‐Driven Business Models

ABSTRACT Car manufacturers excel in leveraging new digital technologies through vehicle design but face challenges in using the data these technologies provide for innovation. In this practitioner paper, we analyse and report on the process AUDI, a German original equipment manufacturer (OEM) of premium automobiles, went through in developing and managing data‐driven business models. A detailed description of the three phases of the carmaker's journey from creating to scaling to capturing identifies the automotive industry's urgent need to standardise data, prioritise customer integration and overcome difficulties in determining the price of data. For other (European) car manufacturers developing and managing data‐driven business models, we also derive five lessons learned from our case regarding AUDI's efforts to address issues when leveraging car‐related data and present an industry outlook with remaining challenges.

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Publication Details

Journal
Information Systems Journal
Published
2026-10-16
DOI
https://doi.org/10.1111/isj.70053
Primary Topic
Digital Innovation in Industries
Type
article
Field-Weighted Citation Impact
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article

Data Is Key: AUDI 'S Journey to Data‐Driven Business Models

Erwin Fielt, Martin Matzner, Norbert Michael Homner, Pepe Bellin et al.
Information Systems Journal
Digital Innovation in Industries
article

Data Is Key: AUDI 'S Journey to Data‐Driven Business Models

Erwin Fielt, Martin Matzner, Norbert Michael Homner, Pepe Bellin, Sebastián Gabriel
article en

Abstract

ABSTRACT Car manufacturers excel in leveraging new digital technologies through vehicle design but face challenges in using the data these technologies provide for innovation. In this practitioner paper, we analyse and report on the process AUDI, a German original equipment manufacturer (OEM) of premium automobiles, went through in developing and managing data‐driven business models. A detailed description of the three phases of the carmaker's journey from creating to scaling to capturing identifies the automotive industry's urgent need to standardise data, prioritise customer integration and overcome difficulties in determining the price of data. For other (European) car manufacturers developing and managing data‐driven business models, we also derive five lessons learned from our case regarding AUDI's efforts to address issues when leveraging car‐related data and present an industry outlook with remaining challenges.

Information Systems Journal
Audi (Germany) (DE), Queensland University of Technology (AU), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Digital Innovation in Industries
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