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Effective data governance is the key to sustainable and responsible data usage. Our goal is to provide organizations with a data governance framework that is not only effective but also continuously improved and enriched with the latest scientific insights and standards. Based on the research of Abraham et al. (2019), our framework keeps evolving to help organizations make the most of their data with the assurance that they are working with the most up-to-date and proven methodologies.
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Our Data Governance Framework (DGF) is made practical by leveraging global standards such as DAMA-DMBOK and BABOK. We have selected and integrated the 10 most relevant techniques to combine a solid theoretical foundation with practical experience and research insights. This enables us to offer an approach that supports all aspects of data governance—procedural, structural, and relational—in a coherent and workable way.
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The result is a flexible and future-oriented DGF that enables organizations to manage their data in a sustainable and effective way. By continuously applying new insights and methodologies, we keep developing the framework with a focus on improvement. Our goal is not only to support organizations but also to keep learning and growing in our own approach.