Why context is the missing layer in analytics — an UnNest deep dive
This article was written by our partner UnNest
Collecting data is no longer enough. What makes the difference today is the ability to turn that data into fast and relevant decisions for data, marketing, or product teams.
Our partner UnNest dove into exactly that – speaking with Piano Analytics PM Mélanie Claisse to unpack the features we've shipped over the past few months.
TL;DR
Data itself is not what’s missing. What’s missing is the context between data and decision. Piano Analytics tackles this problem with a series of new features designed to reduce friction at every step – from collection to action.
The 4 key levers behind this evolution:
Contextual data & event log — enriching behavioral data so it has meaning, for humans as well as for AI
Custom workspaces — giving each team access only to what concerns them, without drowning them in information
Reveal — an AI interpretation layer that enhances your own reading of the data and suggests concrete actions (80% positive feedback)
Mobile app (beta July 2026) — saving time by receiving data insights directly – already built, contextualized, actionable
All of this is delivered while preserving the privacy-first approach they’re known for: AI opt-out available, data hosted in Europe, full transparency on the models used.
