#216 What is Your Part in Doing the Right Thing in Data: Value, Ethics, Literacy, and More - Interview w/ Guy Taylor

Sign up for Data Mesh Understanding's free roundtable and introduction programs here: https://landing.datameshunderstanding.com/Please Rate and Review us on your podcast app of choice!If you want to be a guest or give feedback (suggestions for topics, comments, etc.), please see hereEpisode list and links to all available episode transcripts (most interviews from #32 on) hereProvided as a free resource by Data Mesh Understanding / Scott Hirleman. Get in touch with Scott on LinkedIn if you want to chat data mesh.Transcript for this episode (link) provided by Starburst. See their Data Mesh Summit recordings here and their great data mesh resource center here. You can download their Data Mesh for Dummies e-book (info gated) here.Guy's LinkedIn: https://www.linkedin.com/in/guytaylor/Deep Work by Cal Newport: https://www.youtube.com/watch?v=xJYlhhT7hyEIn this episode, Scott interviewed Guy Taylor, Director of Data Science and Analytics, as well as the Director of Experimentation at Booking.com. To be clear, Guy was only representing his own views on the episode.Some key takeaways/thoughts from Guy's point of view:In general, "people want to do the right thing." Look to reward people that do the good, ethical things as part of their work product.Always be asking "what is my part in this?" Ask for the expectations and try to be clear in your expectations of others.Literacy is not only about an ability to read but also write. So with data literacy/fluency, we need to be able to use data but also create and share it. It's about learning how to share information - not just 1s and 0s - and share it well.There are still major communication gaps between producers and consumers in many cases with data. Part of that is just not getting on the same page, really making sure both sides close that gap. Scott note: as Andrew Pease said, both parties should go more than half way to ensure you've covered everything.If you don't align on expectations, you're far more likely to have a bad time :)Data people need to stop trying to jump to the tooling to address a challenge first. Get the information necessary - what are people trying to accomplish to create value? - then look to how tools can drive towards capturing that value.In tech and especially in data,...