EPISODE · Jun 19, 2024 · 48 MIN
194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde
from The Data Stack Show · host Rudderstack
Highlights from this week’s conversation include:Clint’s Background and Journey in Data (0:51)Starting a Data Career (2:01)Transition to Startup SaaS World (4:27)Clint’s Connection to a Federal Reserve Database (5:31)Challenges in Predictive Modeling (10:27)Data Input Challenges (15:50)Marketers' Workflow and Data Integration (18:29)Soft ROI vs. Hard ROI in Data Analysis (00:21:31)Balancing Internal Marketing and Data Team's Value (22:35)Simplifying Data Inputs for Predictive Models (25:09)Data Analysis Workflow and Tech Stack (29:06)Open Data Formats and Impact on Data Platforms (34:40)The S3 and Ecosystem Model (37:08)In-browser SQL Queries with DuckDB (39:24)Data Security Concerns and Solutions (41:47)Clean Rooms and Data Sharing (43:32)Final Thoughts and Takeaways (47:35)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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What this episode covers
This week on The Data Stack Show, Eric and John chat with Clint Dunn, Co-Founder at Wilde. During this conversation, Clint shares his journey from an economics major to a data professional, detailing his experiences at Afterpay and in building data teams for e-commerce companies. The discussion covers Wilde's focus on predicting customer lifetime value (LTV) and churn for retail brands, emphasizing the importance of accurate data for business decisions. The group also explores the challenges of integrating data predictions into marketing workflows, technical aspects of managing and analyzing large datasets, and more.
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194: Building Retail Churn Prediction on DuckDB with Clint Dunn of Wilde
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