Systems | Development | Analytics | API | Testing

Nobody trusted our internal dashboards. Now they live in code

We audited our skills library a few months ago and found twelve dashboards hiding in it. Not dashboards. Skills that built dashboards. Someone needed a view of some data, asked Claude to put it together, got a long HTML page out of it, and then wrapped the whole thing in a skill so others could run it again. Twelve times over, by different people, for different questions.

The death of the dashboard: why agentic AI is choking on legacy observability tools

Dashboards, sampling, and data lakes were built for human debugging. Closing the bug-to-fix loop for AI agents requires rethinking how runtime data is collected and correlated. Observability as we know it is on its way out. For over a decade, we built telemetry stacks around a single consumer: a human, staring at a dashboard, trying to make sense of a system under stress.

Gallus Insights: From Dashboard Overload to Instant Answers

I had the distinct pleasure of hosting a Snowflake Summit ‘26 session with Agustin “Augie” Del Rio, CEO and Founder of Gallus Insights, an analytics platform tailored specifically for mortgage lenders. As we sat down to discuss the future of analytics, one core truth echoed throughout the room: the most ambitious AI goals live or die by the quality of the underlying data.

How to Optimize Cluster Performance by Cleaning Abandoned Liveboards | ThoughtSpot

Is your system performance taking a hit from hidden data clutter? Admins are constantly looking for ways to streamline their environments, and finding unused content is the fastest way to get results. In this video, we dive into how you can utilize the User Adoption Liveboard to instantly track down abandoned Liveboards and Answer Cards that haven't been accessed in over 90 days. You'll learn how to easily copy and recalibrate existing answer cards, set up custom organizational filters, and pull the exact lists you need to perform a high-impact cluster cleanup.

Raising the Bar: Can Your Charts Do This?

Visualizations in business intelligence software are often dismissed as a “commodity”, interchangeable and easy to overlook. But what this perspective ignores is that visualizations are a gateway to better understanding data. Instead of parsing through raw data, they make key details and trends visible so that users can easily interpret the insights derived from all the data gathering, preparation, and analysis.

Why Intuitive Dashboards Matter in Load Testing Platforms: The Untold Accelerator for Team Performance in 2026

Usability is now the deciding factor in load testing adoption. Technical depth alone no longer sets a platform apart. Teams gravitate toward intuitive dashboards – not because they look nice, but because they make performance data accessible and actionable. If your load testing tool buries insights in dense tables or outdated charts, don’t be surprised when testing falls by the wayside.

Oracle ERP Dashboard: How to Get Live Data Out of Your ERP and Into Dashboards That Actually Work

If you’ve spent any time working with Oracle ERP data, you know this tale: your dashboards look polished, but the numbers inside them are hours or days old. The promise of modern cloud ERP was real-time business intelligence, yet most finance and operations teams are still clicking through static reports, waiting on IT for extracts, and making decisions based on business data that no longer reflects what’s actually happening.

Build an Interactive Dashboard in 5 Minutes with Kai

Data Apps are interactive web applications that run directly in your Keboola project. They let you visualize, explore, and interact with your data without needing external BI tools. Think of Data Apps as your custom dashboards, built exactly how you need them. Now, let's see how Kai makes building Data Apps effortless.

Create a Multi-Location Dashboard in Just 3 Prompts: Claude + Databox MCP

See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we use just three simple prompts to pull Google Business Profile data across 8 different business locations and instantly generate a beautiful, executive-ready HTML dashboard. Instead of manually logging into multiple accounts and copying data into spreadsheets, we use the Databox MCP inside Claude to: Fetch Data Instantly: Claude automatically gathers impressions, clicks, and calls for every single business location through the MCP, comparing current vs. previous month data without any manual exports.

Stop Building Dashboards. Start Having Conversations with Data.

The dashboard was supposed to set your data free. Instead, it became a beautiful prison. You built the perfect visualization. Metrics aligned, charts polished, filters configured. Then someone asked a follow-up question, and suddenly you were back in the queue, waiting for an analyst to build another report. Dashboards are like printed maps in the age of GPS. They show you where things are at a specific moment. But they can’t reroute when conditions change.