Sean Hughes

Evidence Embedded Analytics - A modern dev workflow for your most important data products

Data teams already treat queries, models, and transformations as code. Yet embedded analytics is often built in drag-and-drop BI tools, without version control or reliable deployment workflows. That’s a poor fit for one of your most critical, customer-visible data products. Embedded analytics in Evidence introduces a code-first way to build customer reporting that fits seamlessly in your app - and can be owned entirely by the data team.

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Hsiang (Alex Xiang)

This makes sense for teams treating analytics as a real product, not just dashboards.
I’m curious: how do you help teams decide when “BI as code” is the right abstraction, versus cases where a faster, more exploratory BI workflow is still a better fit?

Yunju Lee
Congrats on the launch🥳 As a PM, the biggest bottleneck is always the lag between data modeling and customer-facing reports. Drag-and-drop tools often feel like they slow us down when we need to iterate fast. We've been looking for ways to get our reporting infrastructure running in just 1-2 weeks without massive migration headache. Does Evidence help in reducing that initial setup friction for lean teams?