An Introductory Guide to Data Stewardship

Data stewardship is a crucial aspect of data governance that focuses on the practical application and enforcement of data management policies. A data steward is responsible for ensuring data accuracy, consistency, reliability, and security across an organization's entire data life cycle. Key roles include managing the data life cycle, establishing ownership and governance, maintaining data quality, securing sensitive information, and promoting best practices in data management through training and awareness programs. The skills required for a successful data steward include technical knowledge of data management principles, strong analytical abilities, attention to detail, and excellent interpersonal and communication skills. Data stewardship offers numerous benefits such as higher-quality data, improved security and compliance, better decision-making, enhanced customer experiences, and continuous improvement in data operations. Key tools for data stewardship include data management software like Oracle Database, Microsoft SQL Server, and PostgreSQL; data quality tools like Acceldata, Talend, Trillium Software, and IBM InfoSphere Information Analyzer; and collaboration platforms such as Confluence, Slack, and Microsoft Teams.