EPISODE · Feb 2, 2022 · 56 MIN
73: What a High Performing Data Team (and Stack) Looks Like with Paige Berry of Netlify
from The Data Stack Show · host Rudderstack
Highlights from this week’s conversation include:Paige’s career path (2:44)Paige’s role and responsibilities at Netlify (6:38)Sharing data insights (8:55)Scope in the context of delivering an insight (12:39)Defining “insight” (15:10)Where the client journey begins (16:43)Miscommunication because of vague terminology (20:06)Netlify’s internal knowledge repository (23:01)Breaking down Netlify’s hub and spoke model (30:45)What data tools to use and when (35:21)The metric layer and BI (44:17)Next steps in the data space (49:42)The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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This week on The Data Stack Show, Eric and Kostas chat with Paige Berry, a staff data analyst at Netlify. During the episode, Paige discusses sharing insights, vague terminology, data team management, and more.
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73: What a High Performing Data Team (and Stack) Looks Like with Paige Berry of Netlify
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