#269 Panel: Leading a Data Mesh Implementation (2nd Iteration) - Led by Vanessa Eriksson w/ Stefan Zima, Duncan Cooper, and Sid Shah

Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/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. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Vanessa's LinkedIn: https://www.linkedin.com/in/vanessaeriksson/Sid's LinkedIn: https://www.linkedin.com/in/siddharthin/Stefan's LinkedIn: https://www.linkedin.com/in/stefan-zima-650229b7/Duncan's LinkedIn: https://www.linkedin.com/in/duncan-cooper-1113722/In this episode, guest host Vanessa Eriksson, the first CDO in Sweden and the head of data advisory company Vanessa Eriksson AB facilitated a discussion with Duncan Cooper, Chief Data Officer for Northern Trust Asset Servicing, Sid Shah, Head of Data Monetization and Platform at Airtel (guest of episode #258), and Stefan Zima, Data Transformation Lead at Raiffeisen Bank International AG (guest of episode #270). As per usual, all guests were only reflecting their own views.The topic for this panel was about the leader's role in a data mesh implementation and what these four panelists have learned in that role. This was the second iteration of a panel we will likely have about every six months or so - the first was episode #215 from April of 2023.Scott note: I wanted to share my takeaways rather than trying to reflect the nuance of the panelists' views individually.Scott's Top Takeaways:Regarding data mesh: get going but don't rush. Essentially, get started now but don't be in a hurry to try to get to some picture perfect end state. You need to take your time to make sure you are transforming instead of making changes that will unravel. Be brave and move forward into some uncertainty!Relatedly, you will absolutely get many things "wrong" but wrong in a data mesh world can simply mean not right yet. We have ways to adapt/adjust and evolve as we learn and grow. Data mesh provides you the ability to iterate towards better constantly.You _really_ should...