How AUDI AG Established Big Data Analytics in Its Digital Transformation

被引：20

作者：

Dremel, Christian ^{[1
]}

Herterich, Matthias ^{[1
,2
]}

Wulf, Jochen ^{[1
]}

Waizmann, Jean-Claude ^{[3
]}

Brenner, Walter ^{[1
]}

机构：

[1] Univ St Gallen, Inst Informat Management, St Gallen, Switzerland

[2] Stanford Univ, Ctr Design Res, Dept Mech Engn, Stanford, CA 94305 USA

[3] AUDI AG, Data Analyt As A Serv, Ingolstadt, Germany

来源：

MIS QUARTERLY EXECUTIVE | 2017年 / 16卷 / 02期

关键词：

D O I：

暂无

中图分类号：

G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];

学科分类号：

1205 ; 120501 ;

摘要：

Digital transformation, which often includes establishing big data analytics capabilities, poses considerable challenges for traditional manufacturing organizations, such as car companies. Successfully introducing big data analytics requires substantial organizational transformation and new organizational structures and business processes. Based on the three-stage evolution of big data analytics capabilities at AUDI, we provide recommendations for how traditional manufacturing organizations can successfully introduce big data analytics and master the related organizational transformations.(1,2)

引用

页码：81 / 100

页数：20

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