DSC delivered a comprehensive financial data overhaul, building out advanced reporting, automating manual processes, and tightening data quality across the board.
An online education and advocacy organization, with over 1,000,000 members, faced the critical challenge of enhancing its financial reporting, data integrity, and overall data management processes. As the organization rapidly expanded, the need for precise financial oversight and robust data systems became paramount. To address these challenges, the organization embarked on an ambitious project aimed at streamlining operations, improving financial visibility, and ensuring accurate data management.
Key Pain Points
Inefficient Financial Reporting
Data Integrity and Management Issues
Manual and Disjointed Processes
Complex Revenue and Expense Reporting

Financial Reporting Visibility
Real-time dashboards with year-over-year insights

Data Accuracy & Integrity
Significant reduction in discrepancies and reporting errors

Operational Efficiency
Automated data pipelines replacing manual processes

Scalable Data Infrastructure
Modern Snowflake + dbt architecture supporting growth

Strategic Decision-Making
Advanced forecasting and detailed financial analysis enabled




Approach
We began by conducting a comprehensive assessment of the organization's existing financial data infrastructure, identifying key gaps in reporting accuracy, data integrity, and process efficiency across finance operations.
Working closely with the finance team, we redesigned the data pipeline architecture, implementing Airbyte for ingestion and Snowflake as the central warehouse. This provided a scalable foundation for consolidating data from multiple financial and operational systems into a single source of truth.
We then built out automated dbt models to standardize revenue and expense reporting logic, replacing error-prone manual spreadsheet processes. Advanced dashboards were developed to give leadership real-time, year-over-year visibility into financial performance, enabling faster and more confident strategic decision-making.
90% reduction in manual financial data processing
70% reduction in data discrepancies and reporting errors
Real-time access to financial performance and forecasting insights
100% consolidation of financial data across core systems
Enhanced strategic financial planning capabilities for leadership