Microsoft Fabric for BFSI: One Lakehouse, Reconciled to the Ledger

A typical mid-size bank has accumulated five overlapping analytics platforms — a Teradata warehouse from the 1990s, a Hadoop cluster from the 2010s that nobody is allowed to retire, a Snowflake instance from the data science team, several Power BI tenants, a SAS server in the model development group, and a few Tableau servers for individual business lines. Each was acquired for a specific need. Each has its own data feeds. Each has its own version of customer count, deposit balance, and credit exposure. Reconciliation between them consumes a senior analyst week every month. Risk committee meetings 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 that nobody wants to take on.

Microsoft Fabric in Azure offers a path to consolidation when designed for BFSI reality. OneLake provides a unified store. Data Factory consolidates ingestion. Power BI Direct Lake replaces standalone BI deployments. Real-Time Intelligence handles surveillance and live event analytics. The key is that the gold layer must be reconciled to the official ledger and risk system of record, the semantic layer must have governed metric definitions that both finance and risk sign off on, and the migration plan must address each existing platform's stakeholders individually. Done this way, Fabric becomes the single source. Done as a technical migration, it becomes a sixth platform that gets used for some things while the other five continue running.