#228 Keeping Your Eyes on the Prize: The Data Value Chain - Interview w/ Tina Albrecht

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.Tina's LinkedIn: https://www.linkedin.com/in/christina-albrecht-69a6833a/In this episode, Scott interviewed Tina Albrecht, Lead Coach for Data-Driven Transformation at Exxeta.Some key takeaways/thoughts from Tina's point of view:Always start from your value chain - how do you actually generate value from data work? Any process or other tool you attempt to leverage that isn't focused on improving your data value chains will likely be ineffective in generating value. And why do data work if not to generate value?Your two most likely reasons you are losing value in your value chain are lack of clear ownership/responsibility and bottlenecks. Look to regularly assess both.When measuring if things are good enough, generally the DORA KPIs are good measures of data process maturity. But also look at two aspects: A) how happy are people (from customers, decision takers up to the team) with the current process. Satisfaction is a great measuring stick because it is highly correlated to effectiveness. And B) how much effectiveness is lost to bottlenecks and constraints.The two ways most data mesh implementations seem to be going wrong are a misinterpretation of Team Topologies and lack of teams owning responsibilities. On the first, there are often breakdowns in how teams collaborate together and on the second, we need the platform team to own enabling domains but the domains keep trying to push work back to the central platform team.It's important to regularly assess if aspects of your data transformation are good enough for now. But it's also very important - and easy to lose sight of - how are your teams feeling during the transformation. If you...

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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