- 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

Digital Wealth Management
Problem/Pain
Capturing greater share of existing client assets, and attracting new clients, continues to be a primary focus of wealth management advisory companies. In today’s always-connected, hypercompetitive financial services environment, developing new investment products that reach and engage new clients is a huge need.
Solution
Robo-advisors have expanded the market for portfolio management by providing new clients with the right opportunities to match their risk tolerance and financial profile. DataRobot’s capabilities to rapidly test and deploy predictive algorithms can be used to automatically rebalance portfolios with little human intervention, and help wealth managers match the right customer with the right product.
Why DataRobot
With DataRobot, wealth advisory companies can quickly develop, test, model, and deploy algorithms to assist with portfolio management services as well as help wealth managers prospect for new clients.