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HMD Praxis der Wirtschaftsinformatik
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Article . 2025
License: CC BY
Data sources: EconStor
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Auf dem Weg zum datengetriebenen Unternehmen: Handlungsempfehlungen für ein effektives Datenmanagement in Enterprise Systems auf Basis von Data3M

Authors: Seline Löwe; Isabella Freese; Caroline Kunath; Thomas Schäffer; Helmut Beckmann;

Auf dem Weg zum datengetriebenen Unternehmen: Handlungsempfehlungen für ein effektives Datenmanagement in Enterprise Systems auf Basis von Data3M

Abstract

Zusammenfassung Ein effektives Datenmanagement ist entscheidend für den Erfolg von Unternehmen in der digitalen Transformation. Diese stehen vor der Herausforderung, ihre Datenmanagement-Initiativen systematisch zu bewerten und zu optimieren. Dieser Beitrag liefert Handlungsempfehlungen für das Datenmanagement in Enterprise Systems, basierend auf einem eigens entwickelten Reifegradmodell für datengetriebene Unternehmen, dem Data3M. Das Modell integriert Erkenntnisse aus bestehenden Modellen, Anforderungen aus der Literatur sowie Expertenmeinungen, um eine fundierte Grundlage für die Ableitung praxisorientierter Handlungsempfehlungen zu schaffen. Das Data3M ermöglicht eine umfassende Bewertung des Datenmanagements auf fünf Reifegradstufen und adressiert dabei die Schlüsselaspekte in den Dimensionen Strategie, Organisation, Daten und Systeme. Es hilft Unternehmen, die notwendigen Voraussetzungen für IT-Systeme zur Unterstützung datengetriebener Entscheidungsfindung zu ermitteln und zu implementieren.

Keywords

Digital transformation, Digitale Transformation, Maturity model, Datengetriebene Organisation, ddc:000, Reifegradmodell, Datenmanagement, Data-driven organization, Data management, Enterprise Systems

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid