What’s up everyone, today we have the pleasure of sitting down with Kevin Hu (Hoo), Co-founder and CEO at Metaplane.  Summary: Dr. Kevin Hu gives us a masterclass on everything data. Data analysis, data storytelling, data quality, data observability and data anomaly detection. We unpack the power of inquisitive data analysis and a hypothesis-driven approach, emphasizing the importance of balancing data perfection with actually doing the work of activating that data. He highlights data observability and anomaly detection as a key to preempting errors, ensuring data integrity for a seamless user experience. Amid the rise of AI in martech, he champions marketing ops' role in safeguarding data quality, making clear that success hinges on our ability to manage data with precision, creativity, and proactive vigilance.  About Kevin Kevin did his undergrad in Physics at MITHe later collaborated with his biologist sister, assisting in analyzing five years of fish behavior data. This experience inspired him to further his research and earn a master's degree in Data Visualization and Machine LearningHe also completed a PhD in Philosophy at MIT where he led research on automated data visualization and semantic type detection His research was published at several conferences like CHI (pronounced Kai) (human-computer interaction), SIGMOD (database) and KDD (data mining) and featured in the Economist, NYT and WiredIn 2019, Kevin teamed up with former Hubspot and Appcues engineers to launch Metaplane, initially set out to be a product focused on customer success, designed to analyze company data for churn preventionBut after going through Y Combinator, the company pivoted slightly to build data analytics-focused toolsToday Metaplane is a data observability platform powered by ML-based anomaly detection that helps teams prevent and detect data issues — before the CEO pings them about weird revenue numbers.How to Ask the Right Questions in Data Analysis When Kevin shared the profound impact César Hidalgo, his mentor at MIT, had on his journey into the data world, it wasn't just about learning to analyze data; it was about asking the right questions. César put together one of our favorite TED talks ever – Why we should automate politicians with AI agents – this was back in 2018, long before ChatGPT was popular.  Hidalgo, recognized not only for AI and ML applications but also developing innovative methods to visualize complex data and making it understandable to a broader audience, was the most important teacher in Kevin’s life. He helped Kevin understand that the bottleneck in data analysis wasn't necessarily a lack of coding skills but a gap in understanding what to ask of the data. This revelation came at a pivotal moment as Kevin navigated his path through grad school, influenced by his sister's work in animal behavior and his own struggles with coding tools like R and MATLAB. Under Hidalgo's guidance, Kevin was introduced to a broader perspective on data analysis. This wasn't just about running numbers through a program; it was about diffusing those numbers with context and meaning. Hidalgo's approach to mentorship, characterized by personalized attention and encouragement to delve into complex ideas, like those presented in Steven Pinker's "The Blank Slate," opened up a new world of inquiry for Kevin. It was a world where the questions one asked were as critical as the data one analyzed. This mentorship experience highlights the importance of curiosity and critical thinking in the field of data science. Kevin's reflection on his journey reveals a key insight: mastering coding languages is only one piece of the puzzle. The ability to question, to seek out the stories data tells, and to understand the broader implications of those stories is equally, if not more, important. Kevin's gratitude towards Hidalgo for his investment in students' growth serves as a reminder of the value of mentorship. It’s a testament to the ide