Empowering Actionable Insights: Streamlining Data Ingestion and Reporting with Scalable Architecture
The existing data platform and reporting structure hindered leadership’s ability to gain actionable insights.
Using a Python framework, the data architects developed code that allowed Business Analysts to schedule and automate custom SQL query jobs, a web-based GUI to test queries and decipher error messages, and automate code deployment with validation checks.
The client received a scalable and flexible ingestion architecture, enabling simplified creation of their own reporting pipelines.
Successfully reduced licensing costs by 40% and decreased weekly support hours by 10%-15%.