Jourier's Data Hub sits between Microsoft Dynamics 365 Finance & Operations and Sigma. Microsoft Dynamics 365 Finance & Operations data flows into the layer continuously (real-time CDC where supported, webhooks and polling otherwise), gets modeled to your business, and surfaces in Sigma as a clean dataset your team can build operational reporting, inventory and order analytics, and cross-entity consolidation on top of.

For teams that want more than a packaged BI experience, the same Data Hub feeds a bespoke data application coded in React and TypeScript, owned by your team. Sigma runs alongside the bespoke application or in front of it, depending on what each part of the business needs.

Microsoft Dynamics 365 Finance & Operations's native reporting was built for the staff who run the system day-to-day. Jourier exposes the same data to BI, finance, and AI tools in shapes those audiences expect — without forcing every consumer to learn Microsoft Dynamics 365 Finance & Operations's operational model.

Sigma's writeback feature lets Microsoft Dynamics 365 Finance & Operations dashboards become operational tools — analysts not only read Microsoft Dynamics 365 Finance & Operations data but write annotations, scenarios, and forecasts back to the warehouse. Jourier designs the writeback tables so they layer cleanly alongside the read-only Microsoft Dynamics 365 Finance & Operations model without conflating the canonical data with user-generated content.

Result: Sigma reports on Microsoft Dynamics 365 Finance & Operations read from a layer engineered for operational reporting, with definitions consistent across reports and across the rest of the operational stack.

Sigma is a strong choice for teams that want a packaged dashboard experience on top of Microsoft Dynamics 365 Finance & Operations. For workflows Sigma doesn't cover (custom UI, write-back to Microsoft Dynamics 365 Finance & Operations, role-specific tools), Jourier builds a bespoke React application on the same Data Hub. Both can live alongside each other.

Can I connect Microsoft Dynamics 365 Finance & Operations to Sigma through Jourier?

Yes. Jourier builds a bespoke Microsoft Dynamics 365 Finance & Operations → Sigma integration through the Data Hub layer. Microsoft Dynamics 365 Finance & Operations data is modeled, kept current, and exposed to Sigma as a clean dataset your team can build operational reporting on top of. The same modeled tables can feed coded React applications and AI assistants alongside Sigma, so the numbers stay consistent regardless of which surface a stakeholder uses. No connector licence fees if you self-host the data layer.

Is the Microsoft Dynamics 365 Finance & Operations → Sigma sync real-time?

Where Microsoft Dynamics 365 Finance & Operations supports change-data-capture, yes — updates surface in Sigma within seconds. Where it doesn't, scheduled polling and webhooks keep the layer current at the cadence the business actually needs (5 minutes for operational dashboards, hourly for finance, daily for archival). Time to first sync is typically instant to one day. The Data Hub holds the canonical state, so reports and dashboards never read directly from Microsoft Dynamics 365 Finance & Operations's API.

What does a Microsoft Dynamics 365 Finance & Operations → Sigma engagement cost?

Bespoke project, scoped to the Microsoft Dynamics 365 Finance & Operations workflows that matter and the Sigma reports your team actually uses. Pricing is project-based, not subscription-based — a fixed-fee build for the data layer + the Sigma dataset, then optional managed-services if you want Jourier to run it. No per-seat licences from Jourier, no platform fees if you self-host. Sigma licences are paid directly to Sigma Computing; we never mark them up.

Who owns the Microsoft Dynamics 365 Finance & Operations → Sigma integration code?

You do. Pipelines, data model, semantic layer config, Sigma dataset definitions, documentation: all yours. Self-host or have us host. Hand it to another vendor whenever you want, or take it over with your own team. Jourier delivers everything as code in a repository you own, with runbooks for how to operate it. No lock-in, no per-engagement licence.

Can I move off Sigma later but keep the Microsoft Dynamics 365 Finance & Operations integration?

Yes. The Data Hub feeds Sigma today, and the same layer feeds open-source dashboards (Apache Superset, Metabase, Grafana), a bespoke React application, or a different vendor BI tool tomorrow. The Microsoft Dynamics 365 Finance & Operations side of the integration — the pipeline, the modeling, the access controls — is unchanged when you switch front-ends. Most of our customers keep multiple consumers running in parallel during a transition window.

How long does a Microsoft Dynamics 365 Finance & Operations → Sigma engagement take?

First sync of Microsoft Dynamics 365 Finance & Operations data is typically instant to one day. A scoped engagement covering Microsoft Dynamics 365 Finance & Operations plus the Sigma reports that matter usually runs four to eight weeks. Bigger transformations are split into phases, each shipping value before the next begins. Jourier handles the Microsoft Dynamics 365 Finance & Operations pipeline, the modeling, the Sigma dataset, and the access controls. Your team validates the reports and trains the analysts.

Can existing Sigma reports built on Microsoft Dynamics 365 Finance & Operations be migrated to the new model?

Usually yes. Most existing Sigma reports become thin wrappers over the new modeled tables — the report logic stays, the data source switches from a direct Microsoft Dynamics 365 Finance & Operations connector to the Data Hub. Jourier audits the existing Sigma workspace, identifies what's worth keeping, and rebuilds report-by-report against the new model. Reports that were workarounds for Microsoft Dynamics 365 Finance & Operations's data shape get simplified or retired.

How do permissions work for Sigma pulling Microsoft Dynamics 365 Finance & Operations data?

Permissions live in the Data Hub, not in Sigma. Each Sigma user authenticates against your identity provider; the dataset that Sigma reads is filtered server-side based on the user's role, region, or department. Sigma's own row-level security still works on top of this. Result: a sales rep in Helsinki and one in New York hitting the same Sigma dashboard see different rows automatically, with the rule defined once in the layer.

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Aleksi Stenberg Founder & CEO