Blog
Notes on applied ML systems—APIs, batch jobs, and retrieval—plus practical data work (reporting, cleaning, workflows) when that is what the problem needs.
For runnable examples, see Portfolio. For scoped work, see Services.
/ Data Integration, Best Practices
Building a Single Source of Truth for Your Business Data
When everyone uses different numbers, decisions suffer. Here's how to create one place everyone can trust.
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/ Ad-hoc Reporting, Business Insights
When You Need Answers Fast: Ad-hoc Reporting Explained
Sometimes you need an answer to a specific question without building a full reporting system. That's ad-hoc reporting.
Read more / Ad-hoc Reporting, Dashboards
One-Off Analysis vs. Full Reporting System: What Fits Your Need
Should you build a dashboard or just run a quick analysis? It depends on how often you need the answer.
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