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Glossary
Data Culture & Processes

Data governance roles

Data governance roles support the management and use of data in companies.

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What are data governance roles?

In a data-driven world, effective data management plays a key role in corporate success. Data governance Defines the framework for managing and using data in a company. Implementing this framework and ensuring that data is effectively used, protected, and used for business success requires various roles with clearly defined responsibilities.

Key data governance roles

  • Chief Data Officer (CDO): Strategic management and implementation of data governance.
  • Data Owner: Has overall responsibility for a domain's data.
  • Data Steward: Manages data in day-to-day business.
  • Data Architect: Designs and implements the technical data infrastructure.
  • Data Analyst: Collects, analyses, and interprets data.
  • Data Security Officer: Protects data from unauthorized access.
  • Data Privacy Officer: Ensures compliance with data protection regulations.

    • Interaction of data governance roles

    The various roles work together to ensure effective use, protection, and compliance with data protection regulations of corporate data.

    Data governance roles are essential for the successful implementation of a data-driven strategy in the company. By clearly defining responsibilities and collaborating between the various roles, companies can take full advantage of their data.

    More information about our services Data Governance , Data Strategy, Reporting & BI, Data Organization and Data culture.

    Detailed descriptions of the individual roles can be found in separate glossary entries.

    Note: Our team benefited from the support of AI technologies while creating and maintaining this glossary.

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    Data Governance

    Not boring or stuffy at all: Aligning ideas and rules

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    Data Culture

    A culture and the processes that make everything possible together.

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    Data Organization

    So that the handling and responsibility of data is structured and everyone knows its responsibilities.

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    Data Strategy

    When what happens how and why — that explains the data strategy.

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