#234 Doing Data Work That Matters: Perspective From a Line of Business Head - Interview w/ Iryna Arzner

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.Iryna's LinkedIn: https://www.linkedin.com/in/irinakukleva/Mobey Forum: https://mobeyforum.org/In this episode, Scott interviewed Iryna Arzner, Head of Group Customer Growth, Retail Banking at Raiffeisen Bank International (RBI). To be clear, she was only representing her own views on the episode.Scott note: I mostly use the phrase line of business or LOB instead of domain in this write up but they are mostly interchangeable.Some key takeaways/thoughts from Iryna's point of view:As a line of business head, data has value but only in so far as they can use it. If it's not aligned to a use case or business need, data work can be more of a distraction than a benefit.It can be very interesting for a line of business owner to know how much their data is worth to other parts of the organization - that could drive funding for additional data work inside their LOB or even more funding than that because the LOB is core to driving business value at the organizational level."You cannot be successful in your data strategy if there are no business leaders that understand the value of the data and are very much determined to uncover this value." Scott note: couldn't put it betterA good way to get your business leaders more data fluent is to very closely pair with them. Sitting side-by-side on a project will up their fluency far better than any training course ever could."How do we get these data insights that we actually need to fuel the business strategy?" It's crucial to understand the LOB business strategy and focus data work around that. Start from the business needs...

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