dashboards
Beyond Market Intelligence keeps dashboards in one place: 3 stories so far. The section currently leads with “Let AI handle dashboard visuals while you keep control of the business logic”, “When health checks lie, high availability becomes a hollow promise”, and “Where Data Meets Design to Make Decisions That Stick”. Building dashboards in Power BI shouldn't mean building every visual from scratch. Most system outages aren't caused by hardware failure. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every dashboards story on Beyond Market Intelligence, newest first.
Let AI handle dashboard visuals while you keep control of the business logic
Building dashboards in Power BI shouldn't mean building every visual from scratch. Let AI handle the visuals and measures while you keep control of the business logic, relationships, and data normalization. It's a practical division of labor that frees you to focus on what matters. For deeper insight into how data teams structure these workflows, our guide on pairing data scientists with business experts offers a useful perspective. That's the kind of collaboration that drives real results.
When health checks lie, high availability becomes a hollow promise
Most system outages aren't caused by hardware failure. They're caused by control-plane dependencies, the invisible threads that tie your application to authentication services, DNS, or configuration stores that nobody remembers to test. Alexey Golev's article makes a clear case: high availability and resilience are not the same problem, and treating them as interchangeable leaves teams with a false sense of safety. Recovery capability erodes without explicit ownership.
Where Data Meets Design to Make Decisions That Stick
Most dashboards look beautiful and still fail the only test that matters: do they change what someone does next? Meriem Benhabiles argues that data visualisation only works when structured UX thinking shapes it, from the questions asked before opening a tool to the choices that help an insight land. That is a refreshingly practical stance. It pairs well with our coverage of how AI voice transparency and clean data practices shape user trust, so exploring those pieces deepens the picture.