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Episode 173:

Data Analytics Is a Team Sport, Featuring Jay Henderson of Alteryx

January 17, 2024

This week on The Data Stack Show, Eric and Kostas chat with Jay Henderson, SVP of Product Management at Alteryx. During the episode, Jay shares his career journey from accounting to data analytics, and his role at Alteryx. They discuss Alteryx’s analytics automation platform, designed for end users without coding skills. Jay explains how Alteryx democratizes analytics, providing a visual representation of data transformations and handling inputs from various systems. They also discuss the challenges of building low-code/no-code systems, the importance of collaboration in analytics, the potential impact of generative AI on analytics, and more.

Notes:

Highlights from this week’s conversation include:

  • No Code Analytics (1:22)
  • Analytics as a Team Sport (2:31)
  • The workflow of someone without Alteryx (11:27)
  • Alteryx’s ability to handle diverse data sources (14:32)
  • The balance between ease of use and complexity (23:06)
  • Enabling casual end users with a no code interface (24:19)
  • Taking analytics to the data (31:47)
  • The boundaries between data engineers and end users (33:44)
  • The importance of collaboration in analytics (34:12)
  • The potential of every employee being a data worker (35:28)
  • The human nature of the product and users in large enterprises (00:45:38)
  • Final thoughts and takeaways (46:21)

 

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.

About the Podcast

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.

To keep up to date with our future episodes, subscribe to our podcast on Apple, Spotify, Google, or the player of your choice.

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