- B
- Blockchain
- C
- Customer Churn
- Counterterrorism
- Cybersecurity in the Public Sector
- Credit Card Fraudulent Transactions
- Credit Default Rates
- Conversion Modeling
- Claim Payment Automation Modeling
- Claim Development Modeling
- D
- Drug Delivery Optimization
- Disease Propensity
- Digital Wealth Management
- Direct Marketing
- E
- Estimating Sepsis Risk
- F
- Finding Duplicate Customer Records in Your Database
- Fraud detection
- Finding New Oil and Gas Sources
- Fraudulent Claim Modeling
- G
- Google AdWords Bidding
- H
- Hospital Readmission Risk
- I
- Inventory Forecasting
- Insider Threat in Public Sector
- Insurance Pricing
- L
- Loyalty Program Usage
- Life Insurance Underwriting
- M
- Multichannel Marketing Attribution
- Modeling ICU Occupancy
- N
- Next Best Offer
- Next Best Action
- P
- Product Personalization
- Q
- Quality Assurance
- S
- Supply Chain Management
- View global site search results

Credit Default Rates
Individuals or businesses often need loans. Making accurate judgments on the likelihood of default is the difference between a successful and unsuccessful loan portfolio.
Problem/Pain
People with years of experience can judge someone’s likelihood of default, but that is not an efficient method for judgement as you grow a business. Increasing the value and number of loans is difficult without a scalable method in place to judge the default risk of many applicants.
Solution
DataRobot uses past information about borrowers’ default rates to predict the likelihood of default for future borrowers. Incorporating the predictive models built with DataRobot into a real-time loan approval process is easy, allowing businesses to scale up and expand their loan portfolios.
Why DataRobot
DataRobot makes it easy to build and deploy default rate-based models, automating real-time applicant risk predictions.