---
title: "Schrödinger’s dashboard — Are they dead or are they not?"
url: https://daily.dev/posts/schr-dinger-s-dashboard-are-they-dead-or-are-they-not--v40l3irlc
source_url: https://blog.infostrux.com/schr%C3%B6dingers-dashboard-are-they-dead-or-are-they-not-4dc4c3ecb48e
type: article
source: "Infostrux"
published: 2026-07-27T23:31:45.787Z
updated: 2026-07-27T23:32:07.396Z
tags: ["data-analysis", "big-data", "llmops"]
reading_time: 8
upvotes: 1
comments: 0
language: en
---

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# Schrödinger’s dashboard — Are they dead or are they not?

**[Infostrux](https://daily.dev/sources/infostrux)** · 8 min read · 1 upvotes · 0 comments

## Summary

Dashboards are frequently declared dead in favor of AI-powered self-serve analytics, but the reality is more nuanced. Good dashboards are accurate, timely, and relevant — qualities that agentic analytics can match or exceed in some areas (relevance, timeliness) but struggle with in others (accuracy, alignment with company doctrine). The real problem was never dashboards themselves but their misuse as a catch-all tool for every analytics need. Ad-hoc and single-use dashboards will be replaced by self-serve agentic tools, while strategic dashboards reflecting core business priorities will remain. Data quality, governance, and LLMOps will become increasingly critical as more stakeholders gain direct access to data insights.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://blog.infostrux.com/schr%C3%B6dingers-dashboard-are-they-dead-or-are-they-not-4dc4c3ecb48e>

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---

Tags: [#data-analysis](https://daily.dev/tags/data-analysis), [#big-data](https://daily.dev/tags/big-data), [#llmops](https://daily.dev/tags/llmops)

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