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<p>Data Governance in small and medium-sized enterprises (SMEs) often fails due to heavy-weight programs—even though data-intensive products and AI applications require reliable, auditable, and quality-assured data. This paper therefore conceptualizes Data Governance not as an afterthought framework, but as a&#xa0;property embedded in platform architecture and business operations. Based on a&#xa0;nine-month case study of building a&#xa0;lakehouse architecture in an SME, the paper shows that effective governance emerges when platform architecture and governance roles mature together. Two dimensions interact in this process: Governance-by-Design embeds role-based access controls, binding data contracts, and controlled self-service capabilities into platform design; Governance-by-Operations safeguards ongoing operations through service-level commitments, structured incident management, and continuous system monitoring. Empirically, the roles of Data Custodian, Data Steward, and Data Owner become effective not merely through organizational assignment, but only once Data Governance is made measurable: metric accountability requires auditable definitions, and policy enforcement requires traceable pipeline changes. As transferable outcomes, the paper develops: a&#xa0;blueprint roadmap that couples architectural milestones with governance roles, an integrated model unifying access, delivery, catalogs, quality, and monitoring, and a&#xa0;metric set to measure stability (MTBF), quality, and change velocity.</p>

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Data Governance im Lakehouse: Eine Fallstudie zur Ko-Evolution von Plattformreife und Governance-Rollen im datenintensiven Mittelstand

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年6月25日

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  • Andreas Paech

摘要

Data Governance in small and medium-sized enterprises (SMEs) often fails due to heavy-weight programs—even though data-intensive products and AI applications require reliable, auditable, and quality-assured data. This paper therefore conceptualizes Data Governance not as an afterthought framework, but as a property embedded in platform architecture and business operations. Based on a nine-month case study of building a lakehouse architecture in an SME, the paper shows that effective governance emerges when platform architecture and governance roles mature together. Two dimensions interact in this process: Governance-by-Design embeds role-based access controls, binding data contracts, and controlled self-service capabilities into platform design; Governance-by-Operations safeguards ongoing operations through service-level commitments, structured incident management, and continuous system monitoring. Empirically, the roles of Data Custodian, Data Steward, and Data Owner become effective not merely through organizational assignment, but only once Data Governance is made measurable: metric accountability requires auditable definitions, and policy enforcement requires traceable pipeline changes. As transferable outcomes, the paper develops: a blueprint roadmap that couples architectural milestones with governance roles, an integrated model unifying access, delivery, catalogs, quality, and monitoring, and a metric set to measure stability (MTBF), quality, and change velocity.