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Turning Data into Actionable Insights with Bubble's Head of Data Elena Dyachkova
Jun 14, 2024
Elena Dyachkova, Head of Data at Bubble, shares practical advice on turning data into actionable insights, emphasizing the importance of data accuracy and reliability. She discusses the challenges data teams face with API changes and schema updates, while also highlighting the significance of continuous learning in product analytics. The podcast explores the collaboration between data analysts and product teams, the use of chat GPT to automate tasks, and the application of generative AI tools in data engineering tasks.
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Quick takeaways
- Importance of simplicity in deriving actionable insights from data analysis.
- Proactive monitoring, heuristics, and observability are crucial for ensuring data accuracy and reliability in business applications.
Deep dives
Background and Expertise of Elena Diatjakova
Elena Diatjakova, the head of data at Bubble, previously with Peloton and Spring Health, discusses her journey from an economics background to becoming a product analytics expert. Having built product analytics teams from scratch, she highlights the importance of applying economic principles to product analytics, drawing parallels between decision-making and behavioral economics. Despite starting her career in sports, she emphasizes the transformation to analytics, integrating insights from economic theories. Elena's diverse background showcases the evolution from sports to data analytics, emphasizing the significance of leveraging different expertise to excel in product analytics.
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