Understand risk to manage it

Every organization is exposed to risk, from financial exposure to supply chain uncertainties to weather to cyber-threats. The better you understand risk – identify it, assess it, forecast its impact – the better you can manage and mitigate it. Data science makes risk a truly manageable aspect of your business. Accurate risk projections that foresee developments and quantify potentially negative developments puts you in a position to act to safeguard your business against potential threats and negative scenarios.

Accurately assess risk

Forecast developments that affect your business and may weaken your position in the market, from price movement to economic developments to unreliable suppliers.

Hedge effectively

Take appropriate measures to protect your business against threats. Hedge or take other proactive action to ensure positive outcomes no matter what circumstances arise.

Improve risk-based pricing

Make credit scoring and other pricing mechanisms more effective with an accurate understanding of associated risks.

Increase operational predictability

Substantiate your everyday decision-making through risk assessments that quantify debtor or supplier reliability and provide insights into other aspects of operations.

Learn more about the opportunities of using data science to develop a modern risk management process.

Get started on your risk management project today!

View Other Use Cases

Churn Prevention

Identify customers likely to leave, take preventative action.

Customer Lifetime Value

Distinguish between customers based on business value.

Customer Segmentation

Create meaningful customer groups for more relevant interactions.

Demand Forecasting

Know what volumes to expect to improve planning.

Fraud Detection

Identify fraudulent activity quickly, and end it.

Next Best Action

The right action at the right time for the right customer.

Predictive Maintenance

Predict equipment failure, plan cost-effective maintenance.

Product Propensity

Predict what your customers will buy, before even they know it.

Price Optimization

Set prices that balance demand, profit, and risk.

Quality Assurance

Resolve quality issues before they become a problem.

Text Mining

Extract insight from unstructured content.

Up- and Cross-Selling

Convince customers to buy more.