#63 Driving Domain Maturity Through Empathy, Respect, and Understanding - Data Innovation Summit Takeover Interview w/ Henrik Göthberg

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 here.Provided 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.This episode is part of the Data Innovation Summit Takeover week of Data Mesh Radio.Data Innovation Summit website: https://datainnovationsummit.com/; use code DATAMESHR20G for 20% off ticketsFree Ticket Raffle for Data Innovation Summit (submissions must be by April 25 at 11:59pm PST): Google FormHenrik's LinkedIn: https://www.linkedin.com/in/henrikgothberg/Dairdux website: https://dairdux.com/Airplane Alliance website: https://airplanealliance.com/In the last of the interviews for the Data Innovation Summit Takeover week, Scott interviewed Henrik Göthberg, the Founder and CEO of consulting company Dairdux, the Co-Founder of the Airplane Alliance, and the Chairman of the Data Innovation Summit.Let's start with some conclusions/advice from Henrik:When working with other departments, in data mesh or not, you need to start from respect, empathy, and understanding for people in different roles.When you think about maturing a domain or process, a big bang approach very rarely works. You need to think about evolution, not revolution.To find a good pathway to maturity, start with the domains already on the leading edge, the innovators; trying to get the laggards to catch up instead of focusing on those who see value in maturity is going to lead to pain and likely not much progress.Start with less complicated and high risk challenges so you can learn and develop the right muscles to do things easier in the future. Focus heavily on reuse - reusable data, yes; but also templates and other "easy path" enabling things. To succeed in data mesh, you need to get to a place where you can have broad reusability. Reusable data, reusable processes, reusable templates, reusable tooling, etc.In a data mesh implementation, start with an initial domain but move on to adding a second domain quickly if...