#297 Panel: Understanding and Leveraging the Data Value Chain - Led by Marisa Fish w/ Tina Albrecht, Karolina Stosio, and Kinda El Maarry, PhD
Data Mesh Radio - Podcast autorstwa Data as a Product Podcast Network
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Please Rate and Review us on your podcast app of choice!Get involved with Data Mesh Understanding's free community roundtables and introductions: https://landing.datameshunderstanding.com/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. Get in touch with Scott on LinkedIn.Transcript for this episode (link) provided by Starburst. You can download their Data Products for Dummies e-book (info-gated) here and their Data Mesh for Dummies e-book (info gated) here.Marisa's LinkedIn: https://www.linkedin.com/in/marisafish/Karolina's LinkedIn: https://www.linkedin.com/in/karolinastosio/Tina's LinkedIn: https://www.linkedin.com/in/christina-albrecht-69a6833a/Kinda's LinkedIn: https://www.linkedin.com/in/kindamaarry/In this episode, guest host Marisa Fish (guest of episode #115), Senior Technical Architect at Salesforce facilitated a discussion with Kinda El Maarry, PhD, Director of Data Governance and Business Intelligence at Prima (guest of episode #246), Tina Albrecht, Senior Director Transformation at Exxeta (guest of episode #228), and Karolina Stosio, Senior Project Manager of AI at Munich Re. As per usual, all guests were only reflecting their own views.The topic for this panel was understanding and leveraging the data value chain. This is a complicated but crucial topic as so many companies struggle to understand the collection + storage, processing, and then specifically usage of data to drive value. There is way too much focus on the processing as if upstream of processing isn't a crucial aspect and as if value just happens by creating high-quality data.A note from Marisa: Our panel is comprised of a group of data professionals who study business, architecture, artificial intelligence, and data because we want to know how (direct) data adds value to the development of goods and services within a business; and how (indirect) data enables that development. Most importantly, we want to help stakeholders better understand why data is critical to their organization's business administration strategy and is a keystone in their value chain.Also, we lost Karolina for a bit there towards the end due to a spotty internet connection.Scott note: As per usual, I...