From spreadsheets to strategic decisions
Risk models, credit ratings, and regulatory reports all depend on data science teams working with precision and speed. Yet many of these teams still run their most important work through spreadsheets, legacy statistical software, and fragmented toolchains that were built for a different era.
A new generation of open-source, cloud-native platforms is replacing that stack. Organizations across financial services are consolidating onto governed platforms that meet regulatory requirements without sacrificing the flexibility that analysts and data scientists need.
In this ebook, we walk through the real costs of legacy tooling, the platform capabilities that modern teams require, and the practical steps that leaders are taking to modernize. Along the way, you will read how Gen Re, KBRA, and Trillium Trading made the move and the measurable results they are seeing.
What you'll learn
- Why legacy tools like spreadsheets and proprietary statistical software cost more than their renewal fees
- How open-source platforms deliver the inspectability and reproducibility that regulators require
- Where AI fits in the analytics stack without compromising trust or governance
- What a practical modernization path looks like, with no "big bang" migration required
- How Posit's unified platform gives financial institutions a governed foundation to build on
Inside you will meet
- Gen Re, which saves 600 hours per day on a single underwriting workflow running on Posit Team across seven global offices
- Trillium Trading, which cut its reporting cycle in half by replacing manual Excel compilations with interactive Shiny and Dash applications
- KBRA, which reduced credit model iteration from weeks to days using Git, renv, and Posit Connect
84% of FSI professionals say open source is valuable to their industry's future. We show what that looks like at enterprise scale.