The importance of data teams is undeniable. Most companies today use data to drive decision-making on anything from software feature development to product strategy, hiring and marketing. In some companies data is the product, which can make data teams even more vital. But there’s a common problem – analyzing data is hard and time consuming. Lots of people have questions they want to answer with data, but data teams often don’t have the resources to move quickly. This can create a pernicious effect where organizations stop asking questions about their own data.
Amanda Kelly thinks a lot about data and the dynamics of data teams inside organizations. She’s worked at Google X, and on self-driving cars and cybersecurity. Her experiences on data teams inspired her to co-found Streamlit, which is an open source Python library that gives primitives to assemble a data app for rapid data visualization and interaction. Her goal was to accelerate the iteration loop to go from a question to a data-driven answer. Amanda is currently the COO of Streamlit and a Product Director at Snowflake, and she joins us today to talk all about data and how she’s building Streamlit.
Sean’s been an academic, startup founder, and Googler. He has published works covering a wide range of topics from information visualization to quantum computing. Currently, Sean is Head of Marketing and Developer Relations at Skyflow and host of the podcast Partially Redacted, a podcast about privacy and security engineering. You can connect with Sean on Twitter @seanfalconer.
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