HeyJaredDecision Patterns
In this newsletter I share patterns and ideas I’ve learned and synthesized over a long career in the field of data and decision science to help you make wiser decisions with data
- Indexed issues, last 90 days
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- Sep 19, 2026
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- Jul 20, 2026
Latest issues
Building Intelligent Decision Support Systems (opens the original)
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As data professionals we love talking about data systems; we think they’re the greatest thing ever; we love building them; we love showing them off. We spend days agonizing about the data model, the ETL pipeline, dealing with failures, etc.But to the business, data systems are invisible. They just don’t care about it (until something breaks and the numbers are wrong of course). They do, however, care about decisions. This is nothing new. Business Intelligence (BI) systems have been preaching “ac
Can AI Automate Data Transformation? (opens the original)
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Something hit me recently. Across two decades of work in data, there’s a single thread that permeates through. We’ve called it “data cleaning”, “data preparation” or even “data modeling” but at the end of the day it’s still a form ot data transformation, aka changing the shape of data from A to B while adding or clarifying meaning to it.Back in the olden days (like a decade ago 😁) we used to do all this by hand. Sample a few rows, look for outliers, make assumptions about the underlying processe
The Demand Perspective in Data (opens the original)
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As data professionals we’re taught to look at data from a single perspective. We see messy data, scattered across multiple systems, begging to be organized and governed.We want to integrate it into a warehouse and build a strong foundation for future use. For us this is the holy grail. I call this the supply perspective. We’re building capacity anticipating some future demand before any has surfaced. But at the same time this is exactly like the entrepreneur who builds a product before validatin
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