Book a demo

Book a demo

See DataCentral on your own Power BI content

Thirty minutes with an engineer who has deployed DataCentral. We model one internal and one external audience on your reports and show the result end to end — sign-in, resolved access, rendered report, audit entry.

  1. 01

    We reply within one business day

    With two or three times for a 30-minute session and one question: which reports and which audiences matter most to you.

  2. 02

    We connect a sample of your content

    A tenant on our instance, your workspace connected through a service principal, one internal and one external audience modelled with organizational units and RLS.

  3. 03

    You keep the tenant

    After the session you can keep exploring — invite colleagues, test the Embedding API, try report keys on a screen.

Prefer to talk directly?

Existing customer? Support is at support@datacentral.ai.

Tell us a little about your environment. We reply within one business day and come to the call with a setup that matches it.

No pitch deck, no obligation. 30 minutes with an engineer who has deployed DataCentral.

Before the call

Common questions.

Is the demo on our own Power BI content?

Yes, if you can grant a service principal read access to one workspace. If not, we demonstrate on a representative estate and model your scenario.

Who should join the call?

The person who owns Power BI (platform or BI lead), someone from identity or security if external sharing is in scope, and the business owner of the audience you want to reach.

Do we need to buy anything to evaluate?

No. The demo tenant is provided for evaluation. Pricing follows the tier that fits — Pro, Premium or Enterprise — and is discussed after the session.

Can we buy through Azure Marketplace?

Yes. DataCentral is available through Azure Marketplace, which lets you purchase against your Azure commitment.

We already have a partner. Can they be involved?

Please bring them. Delivery partners such as Maven, Expectus and Sensa configure DataCentral alongside the data platform they build.