Financial Services
- Analyze current and historical customer transaction data from various sources to see fraud patterns or to see opportunities during the lifetime cycle of a customer
- Automate entity identification and disambiguation (for people, businesses, assets) for modeling
- Generate various algorithms to stay current on large volumes of information
- Run highly complex data queries on transaction data (years, months, decades) to see past and present patterns
- Predict behavior and patterns leveraging current and historical data from a variety of data sources









