#218 Building the Right Data Strategy: Why Are We Even Doing This - Interview w/ Beth Bauer

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 (most interviews from #32 on) hereProvided 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.Beth's LinkedIn: https://www.linkedin.com/in/beth-bauer-102449/Beth's Website: https://posiroi.com/Harvard Business Review article on 'The 3 Elements of Trust': https://hbr.org/2019/02/the-3-elements-of-trustIn this episode, Scott interviewed Beth Bauer, Founder and CEO, PosiROI. FYI, there are lots of nuggets in this one for people creating a data strategy or trying to tie your data work to value creation.Beth's ADEPT^2 Framework (covered briefly near the last 10min of the episode): Analytics - Acuity - Data - Decisions - Engagement - Enablement - People - Processes - Technology - TrustSome key takeaways/thoughts from Beth's point of view, much of which she helped craft:To do data right, we need shared responsibility. There is the technical piece of course but the business aspect is just as important. "…we need to realize that nobody's anything without each other" across the units and enterprise. ?Controversial?: Really good data management can cause some challenges to power structures, especially "how it's always been done" power structures. Try to work with people to give them sight to how they are important in a changed organization.?Controversial?: Don't think data or digital _transformation_. A transformation is something that completes. This is a journey, an ever evolving journey of improving your data practices.Data fluency is crucial - not just giving people the ability to work with data but the trust,...