55 min
Season 4 Finale Catalog & Cocktails: The Honest, No-BS Data Podcast
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- Technology
Well, another incredible season of Catalog & Cocktails concludes this week with hosts Tim Gasper and Juan Sequeda.
Join in for the ultimate takeaways of the takeaways as Tim and Juan recap best moments, favorite hot takes, and the most controversial opinions over the last season.
Listeners, please submit your feedback: https://forms.gle/FdjMfarUaVnJ3SzB9
Key Takeaways
[00:05 - 02:40] Introduction, end of year growth[02:43 - 04:54] Themes in culture, team structures, education opportunities[04:55 - 06:11] Training and Enablement[06:11 - 06:51] Shiny object syndrome, magpie syndrome[06:53 - 07:55] Loris Marini and culture, genuine conversations[07:56 - 09:09] Data problems with Laura Ellis, celebrating what people do with data[09:11 - 10:49] Culture, self-service, and shadow IT[10:54 - 11:09] Shared KPIs and alignment[11:12 - 12:40] Follow the money, and ask why you're working on what you're working on[12:40 - 14:29] Data projects don't fail for technical reasons, aligning business value, ROI is the key[14:35 - 15:09] How the business makes money, and where does it flow to organizationally[15:26 - 16:59] Who are the right people, and how do you continue to motivate and empower them[17:01 - 18:13] Ask for opinions and anecdotes, starting small[18:15 - 19:39] Loris on emphasizing connection and relationships, curriculum-driven development[19:40 - 21:35] Laura Ellis on data user experiences[21:39 - 23:19] The Chief Data Officer and managing data[23:24 - 26:17] What does real time streaming mean, and its impact on business, cost, reporting[26:45 - 29:59] AI and how it is already affecting data, knowledge, and more instant feedback[30:01 - 30:45] Where is AI funding coming from?[30:46 - 33:19] Horizontal and Vertical AI, value and use cases[33:19 - 34:00] Putting brain power toward ads and clicks instead of something like solving cancer[34:02 - 35:24] More education for people with diverse backgrounds, AI teams creating their own feature sets[35:27 - 37:16] "What should a catalog do?"[37:17 - 38:50] The spectrum of search, a lifecycle of data[38:52 - 40:19] Cross-functional collaboration and business expertise, strategies for metadata transformation and integration[40:21 - 41:32] Data modeling, cataloging, and semantics[41:34 - 43:29] Semantics with Dan Bennett, and data layers[43:32 - 45:58] Jumping into the pool with Allison Segraves[45:59 - 49:21] DGIQ, data governance, and closing out semantics[51:38 - 54:21] Predictions for the next year
Well, another incredible season of Catalog & Cocktails concludes this week with hosts Tim Gasper and Juan Sequeda.
Join in for the ultimate takeaways of the takeaways as Tim and Juan recap best moments, favorite hot takes, and the most controversial opinions over the last season.
Listeners, please submit your feedback: https://forms.gle/FdjMfarUaVnJ3SzB9
Key Takeaways
[00:05 - 02:40] Introduction, end of year growth[02:43 - 04:54] Themes in culture, team structures, education opportunities[04:55 - 06:11] Training and Enablement[06:11 - 06:51] Shiny object syndrome, magpie syndrome[06:53 - 07:55] Loris Marini and culture, genuine conversations[07:56 - 09:09] Data problems with Laura Ellis, celebrating what people do with data[09:11 - 10:49] Culture, self-service, and shadow IT[10:54 - 11:09] Shared KPIs and alignment[11:12 - 12:40] Follow the money, and ask why you're working on what you're working on[12:40 - 14:29] Data projects don't fail for technical reasons, aligning business value, ROI is the key[14:35 - 15:09] How the business makes money, and where does it flow to organizationally[15:26 - 16:59] Who are the right people, and how do you continue to motivate and empower them[17:01 - 18:13] Ask for opinions and anecdotes, starting small[18:15 - 19:39] Loris on emphasizing connection and relationships, curriculum-driven development[19:40 - 21:35] Laura Ellis on data user experiences[21:39 - 23:19] The Chief Data Officer and managing data[23:24 - 26:17] What does real time streaming mean, and its impact on business, cost, reporting[26:45 - 29:59] AI and how it is already affecting data, knowledge, and more instant feedback[30:01 - 30:45] Where is AI funding coming from?[30:46 - 33:19] Horizontal and Vertical AI, value and use cases[33:19 - 34:00] Putting brain power toward ads and clicks instead of something like solving cancer[34:02 - 35:24] More education for people with diverse backgrounds, AI teams creating their own feature sets[35:27 - 37:16] "What should a catalog do?"[37:17 - 38:50] The spectrum of search, a lifecycle of data[38:52 - 40:19] Cross-functional collaboration and business expertise, strategies for metadata transformation and integration[40:21 - 41:32] Data modeling, cataloging, and semantics[41:34 - 43:29] Semantics with Dan Bennett, and data layers[43:32 - 45:58] Jumping into the pool with Allison Segraves[45:59 - 49:21] DGIQ, data governance, and closing out semantics[51:38 - 54:21] Predictions for the next year
55 min