Risk analytics involves systematically examining data to identify, assess, and mitigate potential risks within an organization. The key components of risk analytics include:​ Risk Identification: Pinpointing potential risks that could adversely affect the organization, encompassing both internal and external factors. ​ Stripe Data Collection and Management: Gathering relevant data from various sources and ensuring its accuracy and integrity for effective risk analysis. ​ Quantitative Analysis: Utilizing statistical methods and models to measure and prioritize risks based on their likelihood and potential impact. ​ Predictive Analytics: Employing data, statistical algorithms, and machine learning techniques to forecast future risk events and trends. ​