When Databricks and Snowflake arrived, the signal was clear: enterprise data was moving to unified cloud platforms. Most planning vendors doubled down on proprietary data stores. Lumel went the other way — keeping the codebase in open architecture so it could port to the right platform when one emerged. Microsoft Fabric was that platform.

From the Visual BI days, the team watched Power BI grow from a departmental tool to the enterprise standard — and watched organizations consolidate on Power BI semantic models as their canonical business logic: dimensions, measures, hierarchies, security. The conclusion was straightforward: these models would become the foundation for everything, planning included.

Conventional wisdom said data silos were a data problem. Lumel saw it differently. Data silos are a symptom; application silos are the cause. When planning and BI are separate products from different vendors, data ends up in separate places. Fixing the application problem lays the groundwork for AI readiness — plans and actuals in one environment give AI the data foundation it needs.

The logical conclusion of the first three. If cloud platforms win, semantic models are the standard, and application silos cause data silos, then the answer is a single application stack — planning, intelligence, and data management on one platform. Reading from and writing back to the same data layer. No ETL. No reconciliation. No rebuilding what your organization already built.