#121 Using Dataform and DBT in modern analytics (with Verónica Delgado-Benito at Springer Nature)

Full show notes, transcript and AI chatbot - https://bit.ly/4dtzBFh

Watch on YouTube - https://youtu.be/4yo-N2KM8rw

00:00:00 - Introduction
00:01:00 - Veronica's Career Journey
00:02:30 - Transition from Academia to Data Analysis
00:04:00 - Regrets About Leaving Academia
00:05:30 - Current Role as a Product Data Analyst
00:07:00 - Skills Required in Data Analysis
00:09:00 - Bridging Technical and Business Communication
00:10:30 - Experience with Data Tools
00:11:30 - Tech Stack and Tools Used
00:13:30 - Data Culture in the Workplace
00:14:30 - Project Collaboration with Measurelab
00:15:30 - Overview of the Dataform Project
00:16:30 - Choosing Between DBT and Data Form
00:18:00 - Benefits of Dataform's Structure
00:20:00 - Maintaining and Scaling Data Solutions
00:23:00 - When to Use Dataform or DBT
00:25:00 - AI's Role in Data Management
00:29:00 - Learning and Adapting to AI
00:32:00 - Conclusion and Final Thoughts
00:49:00 - Closing Remarks and Encouragement

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Episode Summary:

In this episode of The Measure Pod, Dara and Matt are joined by Verónica Delgado-Benito to chat through her journey from molecular biology PhD to data analyst at Springer Nature. They cover everything from her time in venture capital at Project A, to the quirks of working in scientific publishing—and what it’s like to swap lab coats for dashboards. They also dig into a recent project we worked on together using Dataform to streamline reporting across Springer’s complex analytics setup.

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About The Measure Pod:

The Measure Pod is your go-to fortnightly podcast hosted by seasoned analytics pros. Join Dara Fitzgerald (Co-Founder at Measurelab) & Matthew Hooson (Head of Engineering at Measurelab) as they dive into the world of data, analytics and measurement—with a side of fun.

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