One proven architecture for data platform, ETL, and reporting, from a single source to a complex environment.

From general ledger entry to annual accounts and forecast: closing, connecting, reporting, and planning in one model.

From order to payment, complete insight into lead times, DSO, and cash flow, available in real-time.

Twelve ways to add commentary to the numbers, from free and built-in to full write-back.

From demand forecasting to delivered order: inventory, lead times and logistics performance in real-time and directly manageable.

Risk-driven security from the architecture phase, resilient, compliant, and ready for data and AI.

From day-long batch reports to operational insights refreshed every 5 minutes, the foundation for AI-driven decision-making.

Nine ready-to-use Power BI apps, directly in your role center. What you can do with them and where the limit lies.

Complete insight into spend, suppliers, and contracts: real-time, consolidated, and directly manageable.

Two routes to reporting on Business Central, where the standard stops and Axelio BI continues.

From sales opportunity to signed deal, including the history that your CRM does not keep.

One visual language for management reporting, an ISO standard since June 2026. And six ways to implement it in Power BI.

The proven connector that unlocks Axelio SAP data, on-premises with SSIS or in Azure.

The main announcements from September 28 to October 1 in plain language: from Business Central mirroring to building AI apps in Power BI.

From order to payment, from planning to post-calculation, from general ledger to forecast: five business processes on one consistent data model.

From production order to post-calculation: operations, components, feedback, downtime, and occupancy in one model.

SQL Server, Azure Databricks, or Microsoft Fabric: one architecture, from source to semantic model and data agent.

Absenteeism, turnover, occupancy, and labor costs in one view, with authorization and privacy set up from day one.

Familiar work in Excel, with control over your master data. Manage the mappings, layouts, and reference data behind your reports, with clear ownership, quality controls, and managed publication.

Knowing where each number comes from: the basis for governance, auditing, and trust with the end user.

One metadata-driven orchestration that loads sources, transformations, and models in the correct order, and records what happened at each step.

Gartner, Microsoft, and Axelio agree: AI agents need a guaranteed layer with business meaning. Good BI is already that layer.

APIs, bc2adls, or Fabric mirroring: three routes out of Business Central, and which fits with SQL Server, Databricks, or Fabric.

Asking questions in plain language works, as long as the underlying data is correct. Copilot and data agents are only as good as the model they read.