Building a Modern Finance Data Platform
The reference architecture that underpins every credible AI, planning, and reporting program in finance today.
Every serious AI, planning, or reporting initiative in finance depends on the same foundation: a governed, finance-grade data platform. Get the platform right and every downstream program moves faster; get it wrong and every program stalls at data quality.
The reference architecture is now well understood. Ingestion via Fivetran, Airbyte, or a native connector layer. Storage and compute on Snowflake, Databricks, or Microsoft Fabric. Transformation in dbt. A curated semantic layer feeding BI, planning, and AI. Governance and lineage as a first-class citizen, not an afterthought.
What separates finance-grade platforms from generic data platforms is reconciliation. Every number needs to tie to the general ledger; every metric needs a definition your controller can defend. Design for that from day one and the rest of the program follows.