Development of an Open Source Risk Visualization and Management Tool for Public Institutions

Existing risk management workflows are lengthy and complex, requiring manual design of risk diagrams using raster graphics editors, leading to inefficiencies. Manual report creation is time-consuming, and the complexity may cause omission of minor risks, reducing overall risk awareness and control.

A mid to large-scale government agency seeking to enhance its risk management processes through visual analytics and automation.

• Develop an intuitive, user-friendly visualization tool for creating Risk Reduction and Optimization (RRO) diagrams.
• Enable reuse and import/export of diagram components to streamline risk visualization creation.
• Automate report generation from diagrams, exporting to PDF, to reduce manual effort and human error.
• Shorten the time required for risk visualization and reporting, thereby enhancing risk control effectiveness.

• An intuitive graphical interface with distinct shapes and colors representing actions, risks, and mitigation strategies.
• Automatic sensible layout algorithms to reduce human error and simplify diagram design.
• Import/export functionality for reuse of diagram components across multiple risk assessments.
• Automated export of diagrams to PDF format.
• Input fields allowing users to generate structured risk reports automatically based on diagram data.

• Diagram export/import functionality compatible with common formats.
• Reporting modules that generate PDF documents from user inputs and diagrams.

• The system should handle concurrent users efficiently with minimal latency.
• High availability and reliable data persistence for diagrams and reports.
• Compliance with security standards for data privacy, especially if handling sensitive risk information.
• User interface responsiveness compatible with multiple device types.

The implementation of this risk visualization and management tool is expected to significantly improve risk assessment efficiency, reducing diagram creation and report generation time by over 50%. This automation will decrease human errors and omissions, leading to more comprehensive risk control processes. The open source nature of the tool facilitates broad adoption across public institutions, fostering standardized risk management practices and enhancing organizational safety and resilience.