Industrial organizations generate a continuous stream of operational signals—temperature, pressure, flow, vibration, energy, and more. Much of that data is captured in plant historians, systems built to collect and store sensor and equipment data over long periods, often driven by compliance needs and operational reporting.
Integrating Dynamics 365 Business Central with Microsoft Fabric is a common requirement as organizations modernize their analytics platforms. The primary challenge is not connectivity, but establishing an architecture that scales predictably, protects the ERP system, and enables analytics teams to focus on insights rather than maintaining ingestion pipelines.
As modern data lakes are built on open-source technology like Delta and Iceberg, customers expect to use the analytics engines and services that best fit their needs—without copying data or redefining security. This creates a clear requirement: security must be defined once and enforced consistently everywhere data is consumed.
At Microsoft, we’ve always believed that platforms win when ecosystems thrive. Each year, customers, partners, and data professionals come together at FabCon Atlanta to see how Microsoft Fabric is evolving—not as a standalone product, but as a connected platform amplified by its ISV and SI ecosystem.
For years, organizations have invested heavily in analytics to understand what happened in their business. Dashboards, reports, and KPIs are now table stakes. But when it comes to planning—budgets, forecasts, scenarios, and targets—most teams still rely on disconnected tools, manual processes, and stale data. The result is a familiar challenge: leaders are asked to make high stakes decisions with fragmented context, competing assumptions, and plans that quickly drift away from reality.
