riskanalytic
Riskanalytic is a multidisciplinary approach that combines risk analysis with data analytics to quantify, monitor, and manage uncertainty across organizations and systems. It emphasizes integrating probabilistic reasoning with empirical data to support decision making in the face of uncertain outcomes. While there is no single formal standard for the term, riskanalytic is commonly used to describe practices, frameworks, and toolsets that extend traditional risk assessment with modern analytics, visualization, and governance.
Core activities include risk identification and scoping, modeling and measurement (e.g., probabilistic risk assessment, Monte Carlo
Data and methods: relies on internal data (operational metrics, financial statements, incident logs), external data (market
Applications span finance (credit, market, liquidity risk), supply chains (disruption risk), cybersecurity (threat risk and resilience),
Challenges and considerations include data quality and gaps, model risk and validation, alignment with business objectives,
See also risk management, quantitative risk management, data analytics, actuarial science. The field continues to evolve