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The medium is the problem 

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State of BI and analytics

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The role of inquiry in AI-powered data analysis

Hanna Woodburn

Allison Horst

Julio Avalos

Observable

In this guide, we share a practical framework for streamlining your data analysis process, helping you transform vague requests into clearer data visualizations and valuable insights.

From raw data to data storytelling: A framework for structuring any analysis

AI makes it faster and easier than ever to get answers from data — but the quality of the questions being asked matters more than ever. We share a practical framework for building better inquiry habits across your team.

The role of inquiry in AI-powered data analysis 

AI code generation produces more code faster, but widens the comprehension gap — the solution isn't better generation, it's restoring the "write, run, inspect" loop at machine speed.

The medium is the problem

AI is reshaping workflows across the data analysis and BI landscape. We took a look at where AI is delivering real value for data teams today, where it misses the mark, and how to unlock its full potential — without losing the human ingenuity that drives meaningful insights.

How AI is accelerating data analysis work — and where it’s falling short

Don’t stumble into common data analysis pitfalls. Learn how to avoid issues related to missing values, data wrangling mistakes, and AI-generated outputs.

4 ways to avoid common gotchas in data analysis

The analytics and BI industry is changing rapidly. In this post, we recap the major shifts in the BI landscape, forecast where it’s going, and outline how you can keep up. 

The state of BI and analytics in 2026

Learn how we’ve upgraded AI integration  for fluid, inspectable  text-to-SQL that accelerates data wrangling and analysis in Observable Canvases. 

Draft and customize queries even faster with streamlined text-to-SQL

Over the past two months we’ve made big updates to the SQL node in Observable Canvases. Learn about the friction points we’ve addressed, the solutions we’ve implemented, and what’s in the pipeline. 

Recent improvements to the SQL node in Observable Canvases

Representing data flow is critical in  Observable Canvases because it lets users track data as it moves through branching analyses. Learn how our predictable, user-friendly connectors make it easy to follow the data in canvases.

Visualizing data flow in Observable Canvases

Learn useful features in Observable Canvases that streamline data exploration, speed up data wrangling, and improve organization and navigation in complex analyses.

Data analysis insights

From raw data to data storytelling: A framework for structuring any analysis

The role of inquiry in AI-powered data analysis

The medium is the problem

How AI is accelerating data analysis work — and where it’s falling short

4 ways to avoid common gotchas in data analysis

The state of BI and analytics in 2026

Draft and customize queries even faster with streamlined text-to-SQL

Recent improvements to the SQL node in Observable Canvases

Visualizing data flow in Observable Canvases

Eight features supporting fluid data exploration in Observable Canvases