A collection of 10 posts
Data PMs face unique challenges: validating complex data relationships and schemas before building. This guide shows how to use GenAI tools to prototype data architectures, generate synthetic data, and test insights - condensing weeks of work into hours.
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Data products need more than a trio.
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Growth is driven by compounding, which always takes time. Destruction is driven by single points of failure, which can happen in seconds, and loss of confidence, which can happen in an instant. - Morgan Housel, Psychology of Money Working with data requires holding two things true at once. You must constantly
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Meta's new healthcare ad restrictions aren't just another privacy update - they're a fundamental shift in how we'll have to think about healthcare growth. Drawing from my years measuring health system campaigns at Revive Health, I break down what this means for data and product leaders, why CDPs mig
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Forget what you know about product-market fit for traditional SaaS—data products play by a different rulebook. In this post, I share ten uncommonly useful observations from my years in the healthcare data trenches, challenging conventional wisdom and providing a roadmap for success in the complex wo
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A New Approach for Complex Environments: As a young business analyst, I started my first contract in a warehouse and operations plant. A hundreds of years old manufacturer that had no ERP (enterprise reporting platform) or inventory tracking yet was wildly profitable for decades (their products were sold in cans
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Master the art of data product creation with 10 key elements: Adaptable, Specialized, Discoverable & more! 🚀🌟
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The post advocates for purpose-built and opinionated data products, akin to well-designed streets or roads. To avoid becoming a "stroad", the author suggests defining a clear purpose, saying no to feature creep, prioritizing the user experience, and iterating and improving.
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Are you looking to build data products that can make a real-world impact? As a product leader with years of experience building successful data products, I know that it takes more than just technical know-how to create a product that truly solves a problem. In my latest blog post on kevintholland.co
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What is a data product? Ultimately, a data product serves to fulfill certain tasks or "jobs" that the user base requires, making it a purpose-built solution for meeting specific data-related needs.
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