A mid-market financial services company was running its accounting function on a legacy ERP system that had no native integration with its cloud data warehouse. Finance teams were spending days each month manually extracting, transforming, and loading data into spreadsheets for reporting. We built the automated integration layer that made accounting data a first-class citizen in their analytical environment.
The Challenge
The client's accounting data was locked in a legacy ERP that produced flat-file exports. These files required manual transformation before they could be loaded into the warehouse, introducing errors, delays, and a single point of failure. Month-end close was taking 8–10 days when it should take 2. CFO reporting was perpetually running behind actuals.
Our Solution
We built an automated ERP integration pipeline using Apache Airflow for orchestration and dbt for transformation. The pipeline ingests daily ERP exports, applies a dimensional data model aligned to the company's chart of accounts, and loads clean, reconciled data into Snowflake. Power BI dashboards consume this data in near real time, giving the CFO and finance business partners accurate, up-to-date views of P&L, cash, and variance to budget.
Data Modelling for Finance
Finance data has specific modelling requirements: period-close states, adjustment journals, intercompany eliminations, and multi-currency consolidation. We built a dimensional model in dbt that handles these complexities natively — producing clean, auditable fact and dimension tables that analysts can query with confidence.
Automated Reconciliation
Every load cycle runs automated reconciliation checks — comparing totals against the source ERP extract and flagging discrepancies before they propagate downstream. The finance team gets a daily reconciliation report with zero manual effort.
Self-service BI
Power BI dashboards were designed with finance business partners, not by IT for finance. The output: a single, trusted source of P&L, balance sheet, and cash flow — with drill-through to transaction level for any line item, available every morning by 8am.
Technology Stack
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