- Integrate data and output with other applications in the organization
- Rapid access to data for making business decisions
- Agility to develop new business opportunities
- Integrate and normalize dat across sources
- Organize and catalog data in unified structure
- Connect data to a large set of standard calculations
- Leverage new varied data sets
- Transform data with Python methods
- Easily apply machine learning algorithns
- Collaborate accross research team(s)
- Centrally manage research
- Access to large volumes of data for historical analysis
- Connect to proprietary data and third-party data
- Add data independently without IT involvement
- Easy trial new data sources
- Quickly construct factors to validate hypothesis
- backtest easily against investable universe
- Create weighted multi-factor models
- Optimize with advanced forecasting techniques
- Leverage Qoutient's Factor Model Library
- Data API to simplify information access
- Develop robust reports that visualize model results
- Create dashboards that can presents an investment team view of research sentiment
- All teams ca easily, define generate and export reports to share with management and/or clients