Dashboards that stay live, fed straight from your systems

A dashboard is only worth looking at if you trust that the number on it is current. Most are not. They are built once, refreshed by hand when someone remembers, or worse, they are a screenshot pasted into a weekly deck that is stale the moment it is taken. Roiwerk builds dashboards that wire directly into the systems your data lives in and refresh themselves, so the figure you are looking at is the figure right now. No exporting, no manual refresh, no quiet drift between what the dashboard says and what is actually happening.

The difference between a dashboard and a live dashboard

Plenty of teams already have dashboards. The problem is how they get fed. Someone exports the CRM into a spreadsheet, the spreadsheet feeds the chart, and the whole thing is only as fresh as the last time that person ran the export. When the update is manual, it slips: it happens weekly instead of daily, then it happens when someone asks, then it stops happening and nobody quite trusts the numbers anymore.

A live dashboard removes the person from the loop. We connect it directly to the source systems through their APIs, so it pulls fresh data on a schedule or the moment something changes. The gap between reality and the dashboard shrinks to minutes, and it stays that way without anyone maintaining it. The dashboard becomes something you can actually make decisions on, because you are no longer wondering how old the numbers are.

  • Wired to source systems through their APIs, not fed by manual exports
  • Refreshed on a schedule or in near-real-time when data changes
  • One dashboard combining data from several systems in one view
  • No stale screenshots: the number on screen is the current number

Whatever tool your team already uses

We are not here to sell you a dashboarding product. If you already run Looker, Power BI, Metabase, Grafana, or Google Data Studio, we feed those, because a dashboard your team already knows how to read is worth more than a shiny new one they have to learn. The work that matters is underneath: the pipeline that gets clean, current data into the tool reliably. That is where dashboards usually fall down, and that is what we build.

Where you do not have a tool, or where the right answer is something lightweight and custom, we can build the dashboard itself too, as a simple hosted page that pulls from the same pipelines. Either way the principle holds: the visualisation layer is the easy part, the data plumbing behind it is the real job, and we own that end-to-end so the front end just works.

  • Feed your existing BI tool: Looker, Power BI, Metabase, Grafana, Data Studio
  • Combine CRM, billing, ads, support, and warehouse into a single view
  • Custom lightweight dashboards where a full BI tool is overkill
  • Access controlled so each team sees the view that is theirs

Where AI adds a layer, carefully

The charts and numbers on a dashboard are computed by pipelines and code you can audit, never invented by a model. Where AI can genuinely help is on top of that: a short written summary of what the dashboard is showing today, so a busy executive gets the story without decoding six charts, or a plain-English question box that turns what happened to sign-ups last week into the right query against your data. That lowers the barrier for people who do not speak SQL.

We are cautious here because a dashboard that confidently answers a question wrongly is worse than one that makes you think. Any AI summary is grounded in the same validated data behind the charts and points back to the figures it describes, so you can check it. We would rather ship a dashboard that is honestly just accurate charts than one that wraps guesses in a confident sentence.

Owned by you, and monitored so it stays true

The dashboards and the pipelines feeding them run in your accounts and against your data, documented so your team can adjust a metric or add a view without us. When we hand over, you own the definitions and the connections. There is no dependency on a Roiwerk service sitting in the middle, and no per-seat or per-query bill that grows as more of your team starts relying on it.

Because a dashboard silently showing wrong numbers is genuinely dangerous, we monitor the pipelines behind it. If a feed stops updating, a source changes a field, or a value lands outside a sane range, the system alerts you rather than displaying a confident, wrong figure. A dashboard everyone trusts and nobody double-checks has to actually be trustworthy, and that trust is built in the plumbing, not the pixels.

Key takeaways
  • The value of a dashboard is in how it is fed; manual refreshes slip, so we wire it straight to your source systems.
  • We feed the BI tool your team already uses rather than selling a new one, and build custom only where it fits.
  • Charts come from auditable data, AI only adds grounded summaries, and monitoring stops a broken feed from showing wrong numbers.
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Common questions
Can you feed the BI tool we already have?+

Yes, and usually that is the right move. We build the pipelines that get clean, current data into Looker, Power BI, Metabase, Grafana, or Data Studio reliably. Your team keeps the tool it already knows and we fix the part that actually breaks, which is the data plumbing underneath.

How live is live?+

As live as the use case needs and the source systems allow. Some dashboards refresh every few minutes, some hourly, some once a day, because near-real-time is not always worth the cost or load on the source. We match the refresh rate to how the dashboard is actually used and are honest when hourly is plenty.

How do we know the dashboard is showing correct numbers?+

Because the numbers come from auditable pipelines, not a model, and because we monitor those pipelines. If a feed stalls or a value looks wrong, you get an alert instead of a silently incorrect chart. The whole point of a live dashboard is that people stop double-checking it, so it has to genuinely be trustworthy.

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