Problem:
A financial services firm struggled with the time-consuming process of generating weekly performance reports from multiple data sources.
Solution:
Using Python and libraries like matplotlib and reportlab, we created an automated reporting tool that fetched data from various databases, processed it, and generated comprehensive performance reports in PDF format.
Results:
The new automation cut report generation time from several hours to just minutes. The finance team could now produce reports weekly instead of bi-weekly, enabling quicker decision-making. This increased the firm's agility and responsiveness to market changes.
