Risk Analytics

Risk analytics is a field of data analysis that focuses on identifying and measuring potential risks that an organization or system may face. It involves the use of statistical methods, machine learning algorithms, and other analytical tools to analyze large amounts of data and identify potential risks that may affect an organization's operations, financial stability, or reputation.

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Risk analytics can be applied to a wide range of industries and contexts, including finance, insurance, healthcare, cybersecurity, and more. It is used to identify and assess risks such as credit risk, market risk, operational risk, and reputational risk.

Risk Analytics Application

Risk Analytics
Goal

The goal of risk analytics is to provide decision-makers with insights into potential risks, enabling them to make informed decisions and take appropriate actions to mitigate or manage those risks. Risk analytics can also help organizations to identify new opportunities and improve their overall performance by identifying and managing risks more effectively.

Risk Analytics – Key Objectives

financial

Financial Risk

  • Delinquency Modeling
  • Credit Worthiness
  • Transaction Fraud
  • Billing Fraud
  • Predictive Underwriting
  • Risk-adjusted Premia
risk

Operations Risk

  • Early Warning Systems
  • Supply Chain Risk
  • Retail Shrink
  • Patient Readmission
  • Project Risk