Integrations

Looker Studio

Shareable dashboards fed straight from the system, with no exports in between.

Looker Studio

Looker Studio is the usual choice for teams that want shareable dashboards without a per-seat license. The work on the Nivrix side is the same: deliver data that is clean, defined and current.

What gets synced

  • Connector to the analytical layer

    Looker Studio reads from the same prepared layer that serves the other BI consumers, never touching the operational database.

  • Metrics with definitions

    What exactly does "revenue" mean? The definition travels with the field, so the dashboard does not become an argument.

  • Scheduled refresh

    The load has a schedule and is monitored. A dashboard showing stale data without saying so is worse than an empty one.

  • Slicing by role

    What each person sees is decided before data leaves the server — not hidden inside the dashboard.

How the integration is built

  1. Choosing the connection path

    Depending on volume and frequency, the connection can go straight to the analytical database or through an intermediate layer.

  2. Modeling the metrics

    A handful of well-defined measures beats dozens of ambiguous ones. The model starts lean and grows with use.

  3. Controlled sharing

    A shareable dashboard is useful and risky. Access is configured with your team, with the slicing already applied at the source.

Questions about this integration

Can Looker Studio read the system directly?

It reads the analytical layer Nivrix prepares. Pointing a dashboard straight at the production database is the fastest way to take the operation down with a heavy report.

How often does the dashboard refresh?

It depends on what it answers. Tracking today’s sales wants a short interval; a monthly analysis does not. Frequency is set per dashboard.

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