Is dashboard building becoming a thing of the past, what is most important now?

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For years, the workflow has been to

Clean data → Import into → Build charts → Arrange dashboards → Share with stakeholders.

Today we shipped a feature in that skips most of that.

Upload a cleaned dataset, and AI automatically:

• Finds trends and anomalies
• Chooses appropriate visualizations
• Generates an interactive dashboard
• Explains key insights in plain English

The interesting question isn't whether AI can build

It's whether data analysts should spend less time creating dashboards and more time validating insights and making decisions.

If AI handled 90% of dashboard creation, what would you focus on instead? And what will be most important to you? To me is the data cleaning, because a wrong data or missing value can lead to wrong dashboard,

Thank you for reading

Sovira Team

 

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