Microsoft Fabric for Telecom: One Lakehouse for Network, Customer, and Revenue

A typical mid-size carrier has accumulated several overlapping analytics platforms. A Teradata warehouse from the 1990s the network team still uses for KPI reporting. A Hadoop cluster from the 2010s that the data science team built. A Snowflake instance from a more recent customer analytics initiative. Several Power BI tenants for different business lines. A SAS server in the marketing analytics group. And a few Tableau servers nobody is allowed to retire. Each was acquired for a specific need. Each has its own data feeds. Each has its own version of churn, ARPU, and customer count. Reconciliation between them consumes a senior analyst week every month. Executive reviews get derailed when two dashboards show different numbers for the same metric. Consolidation gets discussed every year and gets paused because retiring a system requires data migration and stakeholder agreement nobody wants to take on.

Microsoft Fabric in Azure offers a path to consolidation when designed for telecom reality. OneLake as the unified store. Data Factory consolidating ingestion from OSS / BSS / billing / network. Power BI Direct Lake replacing standalone BI deployments. Real-Time Intelligence for CDR and network event streaming. The catch is that the gold layer must be reconciled to billing, the semantic layer must have governed metric definitions, and the migration plan must address each existing platform's stakeholders individually. Done this way, Fabric becomes the carrier's analytics source of truth. Done as a technical migration, it becomes another platform that gets used for some things while the others continue running.