About this newsletter
How to Data covers topics related to data, analytics, and technology – drawing from my background as an operator and advisor to high-growth technology companies. It focuses on delivering practical insights for data practitioners. I write once or twice a month and enjoy hearing reader feedback.
Check out some of my previous writing
The last-mile problem in analytics - There are many steps in the analytic value chain, and the last part of turning a business insight into a business outcome is hardest but most important one.
The data-driven organization’s hierarchy of needs - Just like in Maslow’s hierarchy of needs, when it comes to data capabilities you need to nail the basics before you can move on to more advanced things.
How to look for data roles and recruit data talent - Data titles are ambiguous and there is a spectrum of data skills and needs in modern organizations. Understand and recruit the talent you actually need.
My name is George Xing and I’ve been a data science and analytics practitioner for most of my career. Most recently, I led the analytics team at Lyft from 2014-2020 and was responsible for driving company-wide decision-making through a period of over 100x growth.
I’m currently exploring my next adventure, while doing a bit of advising and consulting for startups. I’m always excited to talk about data and decision-making. Reach out if you’d like to chat!