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Supporting Strategic Decision Making for Data Monetization in the Era of Digital Transformation

Authors: Loers, Martin; Royé, Dominik; Laihem, Ilyas;

Supporting Strategic Decision Making for Data Monetization in the Era of Digital Transformation

Abstract

Unlocking the value of data remains one of the most pressing and promising strategic challenges in the age of digital transformation. While data is widely recognized as a key asset, many organizations still face difficulties in con-verting its potential into tangible business value. This paper presents a research-based framework for data monetization strategies, developed through literature review, expert input, and ecosystem analysis. To support practical application, the framework is complemented by a diagnostic questionnaire that helps organi-zations assess their current capabilities and reflect on suitable strategic directions. Designed for early-stage use, the tool fosters alignment between monetization efforts and the company’s transformation context. The approach was developed within the EU-funded DATAMITE project and contributes to advancing strategy development in industrial data use and digital production management.

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    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).
    0
    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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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
Green