The Data Diva E173 - Nitin Singhal and Debbie Reynolds
Feb 27, 2024
auto_awesome
In this podcast, Debbie Reynolds talks with Nitin Singhal about the responsible use of data, challenges of data governance, and the importance of Data Privacy. They discuss data classification, end-of-life data challenges, and the need for a strategic approach to data retention. They also explore blind spots in data, the significance of data lineage in AI adoption, and the evolving nature of privacy regulations.
Data governance is crucial for responsible data usage and identifying blind spots.
Proper data classification and auditing are essential for compliance with privacy regulations.
Deep dives
Career Journey in Data and Interest in Field of Work
Sengel shares his 25-year career journey in the industry, starting with building application systems and transitioning into data engineering at PayPal. He emphasizes the importance of understanding data compliance and insights for sales leads. At Visa, he focused on data monetization, leading to a large merchant insights repository. The role expanded to building a third-party data ecosystem at JP Morgan.
Data Governance and Responsible Use of Data
Sengel stresses the significance of data governance and responsible data usage. He highlights the need for auditability of data to uncover blind spots and ensure compliance. By creating a data management and governance practice at Twitter post-Cambridge Analytica, he prioritized transparency and built auditing systems to enforce control.
End of Life Data Challenges and Retention Strategies
The discussion delves into the challenges of data retention and deletion, especially with evolving privacy regulations. Sengel emphasizes the importance of a well-defined order of operations for retention and deletion strategies. He underscores the need for consistency in data retention practices to meet regulatory requirements.
Data Lineage, AI, and Human Centricity
Sengel highlights the critical role of data lineage in understanding data context, especially with the increasing adoption of AI. He stresses the importance of metadata and context flowing with data to avoid misuse. The discussion extends to the significance of human centricity and trust in data governance, emphasizing the need for contextual understanding and responsible use of data.
Debbie Reynolds, “The Data Diva” talks to Nitin Singhal, VP of Engineering, SnapLogic. We discuss his extensive data journey, emphasizing the importance of responsible use of data and ensuring that it is not in the hands of the wrong bodies. We discuss the challenges and importance of data governance and Data Privacy in today's technology-driven world, including the need for a "healthy data lifestyle" and the importance of auditing data to uncover blind spots. Nitin also shares his insights on data governance and Data Privacy, highlighting the need for a realistic and data-driven model to ensure proper data classification and understanding. Debbie and Nitin also discuss companies' end-of-life data challenges due to Data Privacy regulations. Nitin explains that companies must consider legal retention, privacy contracts with customers, and customer requests for data deletion. He emphasizes the importance of having a single place and order of operations for retention and deletion strategy to ensure consistency and defensibility. We also discuss the importance of being aware of blind spots in data and taking steps to avoid them. Debbie and Nitin explore the complexities of defining good and bad data, highlighting the importance of trust, metadata quality, and understanding the risk presented by the data. We also discuss the importance of context in Data Privacy, emphasizing the need for technology to enforce the tight coupling of context and content to maintain privacy and security. Nitin suggests capturing the context of data at the lowest granularity to meet evolving obligations easily and cost-effectively and avoid having to recreate the wheel every time a new law comes out. Overall, the discussion highlights the importance of responsible and ethical use of data in organizations and his wish for Data Privacy in the future.