Success Stories
We saved 60% of time to the Financial Team by providing data quality, reliability and deepest detail in their reporting
We created a robust analytical layer that uses accounting data to recast Financial Statements that can be analyzed dynamically by city, region, service provided, cost center and date with no effort. This reduced the time dedicated to number crunching associated with Financial Reporting and Analysis in over 70%, allowing dedication to generating valuable insights.
What did we achieve
• We improved data quality by reducing mistakes and generating alerts in the deepest level of detail.
• We automated the Financial Statements generation by city, county, state and operating center in real time.
How we do it
• Dynamic Load and update of financial data fromSAP to Google Cloud Storage in CSV format by using backend exporting processes.
• Built a robust Data Warehouse robusto to integrate information from different sources.
• Optimized data loading to bring data from past years - Migrated visualizations and reports to an optimized tool for Big Data.