How S&P’s Trucost empowered analysts with modern, interactive data reporting tools

Excel is a great tool for getting started with data analysis, and it’s capable of extensive and advanced business analytics. However, working with large datasets can push tools like Excel past their reasonable and reliable usage, becoming time-consuming, risky, and prone to human error.

Rochelle March shares modern techniques to operationalize your reporting and monitoring processes with automation and flexible, scalable Python tools that deploy at any scale. You’ll learn how to take back control of your workflow with Python-based, systemic solutions for building out customizable report-generating web apps that anyone can use. Join in to gain insight into the perks of transitioning from Excel to a Python workflow: automating complex analysis, introducing transparency with historical version and status tracking, and deploying to meet your needs—whether you’re one analyst compiling an annual review or many teams generating hourly status reports 24/7.