Paper Number
ECIS2026-2223
Paper Type
CRP
Abstract
We have accompanied and supported 25 industrial companies of various sizes and sectors over more than four years in implementing, scaling, and operating Data & Analytics (D&A) at both organizational and use-case level. In this reflective study, we conceptualize the D&A transformation as a three-stage journey and specify ten episodes that capture central managerial decisions and practices within these stages. For each episode, we distill gaps and learnings that together form a framework to guide digital leaders in designing and managing their D&A journey on a holistic (strategic and organizational) and a use-case (project and portfolio) level. Empirically, our constructs build on 34 collaborative focus workshops, 18 sprint projects, and 48 use-case implementations conducted within the industry hub. Methodologically, we position the study as a descriptive-explorative multiple case study with design-ethnographic characteristics and an abductive analysis approach.
Recommended Citation
Junker, Sebstian; Bluemelhuber, Benedikt; and Langer, Benedict, "Managing The Data & Analytics Journey - Learnings From An Industry Hub" (2026). ECIS 2026 Proceedings. 10.
https://aisel.aisnet.org/ecis2026/bus_analytics/bus_analytics/10
Managing The Data & Analytics Journey - Learnings From An Industry Hub
We have accompanied and supported 25 industrial companies of various sizes and sectors over more than four years in implementing, scaling, and operating Data & Analytics (D&A) at both organizational and use-case level. In this reflective study, we conceptualize the D&A transformation as a three-stage journey and specify ten episodes that capture central managerial decisions and practices within these stages. For each episode, we distill gaps and learnings that together form a framework to guide digital leaders in designing and managing their D&A journey on a holistic (strategic and organizational) and a use-case (project and portfolio) level. Empirically, our constructs build on 34 collaborative focus workshops, 18 sprint projects, and 48 use-case implementations conducted within the industry hub. Methodologically, we position the study as a descriptive-explorative multiple case study with design-ethnographic characteristics and an abductive analysis approach.
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