Data Stewardship: Defining and Assigning
In this course,one of our community member will share his insights on the roles and responsibilities of data stewards. He will discuss the importance of data stewardship and the key responsibilities of data stewards. He will explore how data stewards collaborate with other stakeholders within an organization, such as data scientists, IT teams, and business leaders, to ensure the effective management of data assets.

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In this course, one of our community member will share his insights on the roles and responsibilities of data stewards.
As organizations increasingly rely on data to inform decision-making and drive innovation, the role of data stewards has become critical. Data stewards are responsible for managing and ensuring the quality, security, and compliance of data assets within an organization. They play a vital role in enabling organizations to derive value from their data while also minimizing risk.
Members learn the importance of data stewardship and the key responsibilities of data stewards. He will explore how data stewards collaborate with other stakeholders within an organization, such as data scientists, IT teams, and business leaders, to ensure the effective management of data assets.
Members will also learn the skills and competencies required to excel as a data steward, such as knowledge of data governance frameworks, data modeling, and metadata management. He will provide practical examples of successful data stewardship in action and offer tips for organizations looking to establish effective data stewardship programs.
By the end of the session, students will have gained a deeper understanding of the critical role of data stewards in data management, the skills required to excel in this role, and the steps organizations can take to establish effective data stewardship programs. Attendees will also have the opportunity to ask Peter questions and engage in a lively discussion with their peers.
Begin your free trial and access unlimited DataQG courses
All courses and lessons available to DataQG members