#119 Data-Driven Thinking for the Everyday Life

Just as data is used to help businesses determine new directions, set new goals, and measure progress, data can be used in everyday life to help people do the same as they seek to improve themselves.As the new year arrives, many people are thinking about new goals and new ways to improve their lives, so we have invited Gary Wolf to the show to explore how you can use data-driven thinking to drive meaningful changes in yourself.Gary Wolf is the Co-Founder of The Quantified Self, an international community of makers and users of self-tracking tools. Prior to co-founding The Quantified Self, Wolf was a contributing editor for Wired Magazine, where he spent two decades covering the intersection of technology and culture, and his cover story in the New York Times is what introduced the general public to self-tracking as an emerging trend.In this episode, we talk about what The Quantified Self is, why self-tracking projects can be life-changing, how to get started with self-tracking, how to connect with others in the self-tracking community, and much more.

Om Podcasten

DataFramed is a podcast for data & analytics leaders looking to scale data science throughout an organization by equipping them with the insights to drive value from data science and create a data-driven culture. Each episode will feature a conversation with various data science and analytics leaders who are transforming their organizations and are at the forefront of the data revolution. Whether you’re just getting started in your data career, or you’re a data leader looking to scale data-driven decisions in your organization, you’ve found the right community. Welcome to DataFramed!