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Data Analysis Journal

Where product, data science, and analytics intersect.

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Self-Service Analytics Is Not Self-Service. But Don’t Tell Anyone - Issue 329

What Anthropic reveals about the data infrastructure, expertise, and human judgment behind successful self-service analytics.

dbt Should Be Your Semantic Layer - Issue 328

How well-designed data models can serve analysts, BI tools, and AI agents without another layer of abstraction

How to Measure AI Model Performance and Product Impact - Issue 327

My lessons for testing AI models, tracking execution, and measuring product and business impact.

When AI Builds the Data Models, What Happens to Analytics Engineering? - Issue 326

dbt founder Tristan Handy on how AI changes the work of analytics engineers

The Guardrails AI Needs for SaaS and Subscription Reporting - Issue 325

How to build a subscription waterfall that gives AI the guardrails to keep churn, revenue, and subscriber metrics accurate

Should You Discount to Save the Customer? - Issue 324

Napkin math for estimating whether to offer a renewal discount - and how low to go.

How Much Is an A/B Test Worth? - Issue 323

A new practical framework for deciding when to test, how much data to collect, and when the evidence is worth the cost.

The Model Is Smart. Your Company Is the Problem - Issue 322

AI adoption does not fail because models are too weak. It fails because companies are too messy for powerful models to understand.

The Rise of the AI Product Analyst - Issue 321

The skills, tools, and responsibilities behind one of the newest analytics roles.

30 Must-Read Books to Become a Better Analyst or Data Scientist - Issue 320

A reading list for analysts and data scientists working at the intersection of data, product, and decision-making.

Omni: The Better Looker, or Just Another Expensive BI Tool? - Issue 319

A deep dive into Omni’s semantic layer, BI-as-code workflow, customer feedback, AI features, and where the tool still falls short.