Data Breakthroughs - Episode 3: From Notebooks to Action
Real-world data problem solving in action! Nick Zervoudis (Data Product Management Consultant & Coach) and host Lior Barak tackle a community-submitted ML deployment challenge for the first time during the recording.
Problem Category: Machine Learning & AI Implementation Runtime: 45 minutes
The Challenge: A high-accuracy churn prediction model (87%!) sits trapped in Jupyter notebooks while the sales team desperately needs daily at-risk customer alerts in Salesforce to prevent customer loss.
The Solution: A phased 90-day deployment approach with human validation, cost/revenue tracking, and strategic go/no-go decision points - prioritizing quick wins while building toward full integration.
Key Takeaways:
Always run a standard checklist for IT, legal, privacy, and data access requirements
Define success metrics upfront - what does "breakthrough" really mean for your business?
Don't wait for perfection - export data ASAP and let teams start learning from it
Guest: Nick Zervoudis, Data Product Management Consultant & Coach at Value from Data & Former Head of Product at CKDelta (doubled annual revenue, 5x ARR), Co-host of "Data Product Management in Action" podcast
Connect with Nick:
Website: https://blog.valuefromdata.ai/
Course: https://maven.com/nick-zervoudis/dpm-value-course
LinkedIn: https://www.linkedin.com/in/nzervoudis/
Get Involved: Submit your data problem: https://forms.office.com/r/KUPaLPEZwMBecome a guest: https://forms.office.com/r/Qy2riCHvT5Join the conversation: #DataBreakthrough
Full show notes & visual diagrams: [Link to newsletter version]
Disclaimer: This podcast is intended for educational and inspirational purposes. Solutions discussed are general approaches - adapt them to your specific context and constraints.
Music: "Calisson" courtesy of Riverside
