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Innhold levert av Data as a Product Podcast Network. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Data as a Product Podcast Network eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
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This Week I Learned (in Data)

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Manage series 3294755
Innhold levert av Data as a Product Podcast Network. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Data as a Product Podcast Network eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Experts in the data and analytics space sharing with you their incremental context - what did they learn this week (or in the last few weeks) that was really valuable and incremental? Not about what they read or watched, but what was the real impact and what did that change? Each week, multiple expert guests will share shortish (typically 3-6min) summaries of what they learned across the data and analytics space - what trends are they noticing? What are the emerging topics? What are the common pain points?
  continue reading

En episode

Artwork
iconDel
 
Manage series 3294755
Innhold levert av Data as a Product Podcast Network. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Data as a Product Podcast Network eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.
Experts in the data and analytics space sharing with you their incremental context - what did they learn this week (or in the last few weeks) that was really valuable and incremental? Not about what they read or watched, but what was the real impact and what did that change? Each week, multiple expert guests will share shortish (typically 3-6min) summaries of what they learned across the data and analytics space - what trends are they noticing? What are the emerging topics? What are the common pain points?
  continue reading

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