DataFramed
#231 Manage Your Data Better with Shinji Kim, CEO at Select Star
Aug 1, 2024
Shinji Kim, Founder and CEO of Select Star, is a data infrastructure expert with experience at Akamai and Facebook. She discusses the frustrating data discoverability issues many face in organizations. Shinji emphasizes the critical role of effective data governance and quality, especially with emerging technologies like AI. She highlights the power of documentation in data management and collaboration between data and business teams, advocating for transparency to enhance decision-making. Her insights offer actionable strategies for navigating today's data complexities.
45:39
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Quick takeaways
- Data governance is essential for organizations to protect privacy and ensure data is organized, accessible, and compliant with regulations like GDPR.
- Effective management of data quality requires identifying critical datasets, maintaining their integrity, and promoting knowledge-sharing to optimize resource allocation.
Deep dives
Importance of Data Governance
Data governance has become increasingly significant due to the rise of generative AI and the need for organizations to comply with data privacy regulations like GDPR and CCPA. Effective governance not only protects individuals' privacy and confidential data but also ensures that data is organized and accessible for analysis. As enterprises strive to leverage their data, a well-structured governance framework allows data analysts and scientists to access the right datasets and utilize them effectively. This shift towards improved governance reflects a broader trend of transitioning from simple data collection to comprehensive data utilization across organizations.
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