Stop Planning Your Data Governance Strategy (Do This Instead)
📰 Medium · Data Science
Ditch traditional data governance planning and focus on iterative execution for better results
Action Steps
- Assess current data governance practices
- Identify key stakeholders and their needs
- Develop a minimal viable product (MVP) for data governance
- Implement iterative execution and continuous improvement
- Monitor and evaluate progress regularly
Who Needs to Know This
Data scientists and engineers can benefit from this approach as it allows for more flexibility and adaptability in managing data governance
Key Insight
💡 Iterative execution allows for more flexibility and adaptability in managing data governance
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💡 Ditch traditional planning and focus on iterative execution for data governance
Key Takeaways
Ditch traditional data governance planning and focus on iterative execution for better results
Full Article
Having realigned our mental models in the previous installment, we now face the crucible of execution. A paradigm shift is merely the… Continue reading on Data And Beyond »
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