## Sensitive Business Data Processing: From Rigid Scripts to Flexible Automation

**Target Audience**
Developers, data analysts, and enterprise operations engineers who handle sensitive business data and have high requirements for data security.

**Core Uses**
This solution addresses the pain points of traditional Python scripts lacking flexibility (and prone to crashing) when facing business version iterations, and the difficulty in balancing security with cloud processing solutions, providing a new data processing path that balances flexibility and privacy.

**Key Points of the Plan**
**Breaking through the limitations of scripts:** Abandoning hard-coding patterns and introducing a dynamically configurable logical architecture improves the robustness of code to business changes.
* **Balancing Security and Efficiency:** Achieving efficient data cleaning and transformation while ensuring data remains within the domain and meets compliance requirements.
* **Optimized Iteration Process**: By decoupling business logic from the execution environment, maintenance costs are reduced and the cycle from requirement change to deployment is shortened.