#162 Creating Data FOMO and Keeping Close to the Business - Interview w/ Dacil Hernandez

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.Dacil's LinkedIn: https://www.linkedin.com/in/daciluhernandez/In this episode, Scott interviewed Dacil Hernandez, Director of Data and AI for Northwest Europe at Nagarro.Some key takeaways/thoughts from Dacil's point of view:At the end of the day, tech is the easy part in data. Creating value though data is the hard part. And why do data work if not to create value?It's incredibly easy and pretty common for IT and the business to get disconnected - or never be connected in the first place. Focus on creating and maintaining relationships with a steady flow of context between both sides.Dig into if your business partners actually understand what data ownership means, what it entails. They may be willing but not capable to own data at the start. Work with them to up their capabilities and understanding.Data ownership should not be treated like the "hot potato", being passed to "anyone other than me".Tell your business counterparts "I need your help to help you." You can unlock far more value through collaboration than waiting for requests.Your data strategy should give people FOMO - fear of missing out. Give them incentives that makes it feel like they can't miss out on the value you're creating.!Interesting Idea!: use gamification to find data quality issues. Don't make it a shameful thing, find it and get it remediated and celebrate the people who found it. Look to drive positive energy around your data.Talk to potential data consumers before creating a data quantum or anything in data. You won't know what you can offer that will be valuable to them until you know what they want. So have the conversation.Bad requirements...