Manual revenue data aggregation from PMS, CRS, and channel managers into BI tools like Tableau or Power BI is a persistent operational bottleneck. Analysts waste hours weekly on error-prone spreadsheet merges, delaying critical insights into RevPAR, occupancy, and market share. A custom ETL automation pipeline directly attacks this cost center by orchestrating scheduled data pulls, applying business logic for normalization, and ensuring data quality before loading, freeing analysts for higher-value forecasting and strategy work.




