Do dashboards still matter when insights are conversational?

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Priya Nair

Updated on November 25, 2025 in

For nearly two decades, dashboards have been the backbone of business intelligence

static, structured, and pre-modeled. But today, the core experience of consuming insights is shifting. With LLMs layered on top of data warehouses,

business users no longer wait for a dashboard refresh or ask analysts to build a report. They simply ask a question in plain language:

“Why did churn increase in Q3?” or “Which customer segment saw the biggest drop in repeat purchases?”

The system not only returns aggregated results but contextual explanations, correlations, and even recommended actions.

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Xavier Jepsen on November 25, 2025

Dashboards won’t disappear, but they’re no longer the centre of gravity in BI. The real shift is in how business users interact with data. Instead of navigating filters, charts, and drill-downs, they’re starting to converse with their data the same way they’d talk to an analyst.

LLMs have essentially turned the warehouse into an always-on insights engine. Ask a question, get the metric, the explanation, the drivers, and even suggestions on what to do next. This removes the historical bottleneck of waiting for dashboard updates or queueing requests with analysts.

What we’re really seeing is BI evolve from static consumption to dynamic discovery. Dashboards will still serve as governed, trusted sources of truth—but day-to-day decision-making will increasingly happen through conversational interfaces that deliver context, not just charts.

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Dashboards won’t disappear, but they’re no longer the centre of gravity in BI. The real shift is in how business users interact with data. Instead of navigating filters, charts, and drill-downs, they’re starting to converse with their data the same way they’d talk to an analyst. 
LLMs have essentially turned the warehouse into an always-on insights engine. Ask a question, get the metric, the explanation, the drivers, and even suggestions on what to do next. This removes the historical bottleneck of waiting for dashboard updates or queueing requests with analysts. 
What we’re really seeing is BI evolve from static consumption to dynamic discovery. Dashboards will still serve as governed, trusted sources of truth—but day-to-day decision-making will increasingly happen through conversational interfaces that deliver context, not just charts.

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