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DESCRIPTION:Click for Latest Location Information: http://dgiq-edw2025.data
 versity.net/sessionPop.cfm?confid=164&proposalid=16188\nData products, data
  contracts, data mesh, data fabric — sometimes it feels like the data
  world has turned into a buzzword bingo game. If you’re tired of over
 complicating things, this talk is for you. In “The Honest No-BS on Da
 ta Products” we’ll cut through the jargon and demystify what a 
 data product really is and contrast it with analytic products and AI produc
 ts. We’ll learn the "data product ABCs," see how they fit i
 nto data governance and modern data architectures, and compare them to trad
 itional data management approaches. We’ll discuss best practices for 
 being a data product manager, whether that’s your title or often not,
  and data product management writ large.\n\nTo make it real, we’ll al
 so look at real-world examples of data products and organizations that have
  simplified their data strategies with great success, pointing out common p
 itfalls to avoid when building and maintaining data products, and driving t
 heir adoption. Most importantly, we’ll discuss where things can go&nb
 sp;off the rails so you can embrace the KISS principle.\n\n
 Demystifying Data Products: What data products are (and aren’t) &mdas
 h; the “data product ABCs” explained.\n
 Data Products vs. Analytic and AI Products: Key differences and why it
  matters for your strategy.\n
 Practical Data Product Management: Best practices, common pitfalls, and the
  role of a data product manager (title or not).\n
 Real-World Examples, Success Stories, and Lessons Learned.\n
 Keeping It Simple: Embracing the KISS principle to avoid overcomplicating a
 nd focus on driving adoption.\n\n
DTSTART:20250506T164500
SUMMARY:The Honest No-BS on Data Products
DTEND:20250506T172959
LOCATION: See Description
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