#96 The Power of Empowerment and Driving Business Value: Data Mesh at Roche - Interview w/ Omar Khawaja

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.Omar's LinkedIn: https://www.linkedin.com/in/kmaomar/Omar's State of Data Mesh presentation: https://www.youtube.com/watch?v=S5ABE4bevn4Adam Grant book Think Again: The Power of Knowing What You Don't Know: https://www.amazon.com/Think-Again-Power-Knowing-What/dp/B08HJQHNH9Lean Value Tree definition: https://openpracticelibrary.com/practice/lean-value-tree/In this episode, Scott interviewed Omar Khawaja, Head of Business Intelligence at Roche Diagnostics. To be clear, Omar was only representing his own viewpoints and learnings, not necessarily those of Roche.Some interesting thoughts/takeaways from Omar's point of view and learnings:If you are going to make progress in a data mesh journey, you must be okay with "good enough". Perfect is the enemy of good and done. Measure, learn, and adjust along the way but get moving and keep moving. It's okay to make mistakes - recognize and correct them.Echoing a number of past guests, change management and organizational challenges will take a large portion of a data mesh implementation leader's time and effort - likely far more than most would expect. Focus on empowering people and showing them why this can work for them. And what it means for them.Data mesh cannot be your entire data strategy. If you are implementing data mesh, it must only be part of your data strategy. Start from the why. Why undertake something as transformational and difficult as implementing data mesh? What business value will it deliver?Data-as-a-product thinking is the true heart of a data mesh implementation. It's far more than just creating data products. Data product discovery is crucial, much like discovery in regular product management. Take considerable learnings from product management in other disciplines.Focus on outcomes in day-to-day data work. What are you trying to deliver? What is the value in...

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Interviews with data mesh practitioners, deep dives/how-tos, anti-patterns, panels, chats (not debates) with skeptics, "mesh musings", and so much more. Host Scott Hirleman (founder of the Data Mesh Learning Community) shares his learnings - and those of the broader data community - from over a year of deep diving into data mesh. Each episode contains a BLUF - bottom line, up front - so you can quickly absorb a few key takeaways and also decide if an episode will be useful to you - nothing worse than listening for 20+ minutes before figuring out if a podcast episode is going to be interesting and/or incremental ;) Hoping to provide quality transcripts in the future - if you want to help, please reach out! Data Mesh Radio is also looking for guests to share their experience with data mesh! Even if that experience is 'I am confused, let's chat about' some specific topic. Yes, that could be you! You can check out our guest and feedback FAQ, including how to submit your name to be a guest and how to submit feedback - including anonymously if you want - here: https://docs.google.com/document/d/1dDdb1mEhmcYqx3xYAvPuM1FZMuGiCszyY9x8X250KuQ/edit?usp=sharing Data Mesh Radio is committed to diversity and inclusion. This includes in our guests and guest hosts. If you are part of a minoritized group, please see this as an open invitation to being a guest, so please hit the link above. If you are looking for additional useful information on data mesh, we recommend the community resources from Data Mesh Learning. All are vendor independent. https://datameshlearning.com/community/ You should also follow Zhamak Dehghani (founder of the data mesh concept); she posts a lot of great things on LinkedIn and has a wonderful data mesh book through O'Reilly. Plus, she's just a nice person: https://www.linkedin.com/in/zhamak-dehghani/detail/recent-activity/shares/ Data Mesh Radio is provided as a free community resource by DataStax. If you need a database that is easy to scale - read: serverless - but also easy to develop for - many APIs including gRPC, REST, JSON, GraphQL, etc. all of which are OSS under the Stargate project - check out DataStax's AstraDB service :) Built on Apache Cassandra, AstraDB is very performant and oh yeah, is also multi-region/multi-cloud so you can focus on scaling your company, not your database. There's a free forever tier for poking around/home projects and you can also use code DAAP500 for a $500 free credit (apply under payment options): https://www.datastax.com/products/datastax-astra?utm_source=DataMeshRadio