Is dashboard building becoming a thing of the past, what is most important now?
For years, the workflow has been to
Clean data → Import into BI tool → Build charts → Arrange dashboards → Share with stakeholders.
Today we shipped a feature in Sovira AI 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 dashboards.
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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