Jun 01, 2022

How would dashboards 2.0 look like? (they are far away from being dead)

Of late, there has been many posts/articles on dashboards being dead - and But many of us in the data industry believe this is far away from the truth. So how would the new age dashboards look like?

3 Replies

There are 2 major trends reshaping BI. The first is the unbundling of analytics processing and data visualization. BI tools often struggle with huge datasets and complex relationships. They also don't offer powerful analytics capabilities. To get more value from their data, modern businesses are shifting to pre-processing their most important analytics upstream of their data visualization tools. The second is the shift towards operational analytics. Many teams don't want another tool to click through and digest information in. Instead, they want distilled, actionable insights directly in their existing work tools to empower better real-time decision-making and workflow automation. To succeed, Dashboards 2.0 should focus on lightweight implementations, easy connections to analytics pipelines, in-app embeds and integration into the hub of the analytics team to collaborate and share knowledge. - Edited

2 years ago

Dashboards are the best way to analyze data. Partially agree with the fact that dashboards are getting complicated due to the complexity of data. Real-time visualization, Interactive reports, Embed-analytics and Search driven analytics are some of the features that eases the data complexity problem. Definitely, Dashboards are not dead.

2 years ago

Definitely not dead - and in my view, not too different from how existing dashboards & analytics are already delivered today. There's for sure an expansion of different kind of new ways of consuming data (Excel like UI as you can find it in Sigma, Question/Answer BI with ThoughtSpot), but the majority will still be consumed in standard story telling/guided analytics dashboards. Astrato Analytics ( is focusing on this area, e.g..One area where we will for sure see an evolution of analytics use cases it that they will becoming bi-directional Data Apps, where you can not only read data, but also comment/write/update/insert data to act upon the insights you are seeing.

2 years ago
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