#204 Driving Towards Data Driven - How to Add More Data to Your Org's Decisions - Interview w/ Stephen Galsworthy

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. You can download their Data Mesh for Dummies e-book (info gated) here.Stephen's LinkedIn: https://www.linkedin.com/in/galsworthy/In this episode, Scott interviewed Stephen Galsworthy, former Head of Data at TomTom. Obviously, given he's no longer with the company, he was only representing his own views.Some key takeaways/thoughts from Stephen's point of view:Just because the products you sell are made from data, that doesn't mean you necessarily have a good process for leveraging data to make your products better. You need to embed information collection into how you create products, how customers interact with your offerings.The AI Flywheel: If you can get good information on product user experience, you can feed that into AI systems that generate incremental insights to improve your user experience even more. Hopefully, that generates more users which generate even more information to improve even further.If data collection on usage is not part of your business model - for a number of reasons - it can be hard to convince customers and/or partners to enable that data collection. Even if it's simply to improve the user experience. Try to add it in to your product development as early as possible.If your organization is data hesitant, look for existing success stories from data. Look for something that couldn't have happened without the data. And then share that success internally to drum up more interest.?Controversial?: Data should rarely be THE deciding factor. Data should be a touch point that can strongly inform or give clarity. Use it for giving clarity or measuring as you iterate. Help execs understand it's not magic and that it's not all right or wrong.It's easy to trust data when it confirms your...

Om Podcasten

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