By being able to upload any source of data e.g. CSV, Microsoft Excel, GPS systems, camera technologies, bio-monitors, Mobile App solutions, and any wearable device, the engine allows users to perform statistical analysis on current and historical data sets to gain predictions for future values and events.
XELA has embedded capabilities for advanced data analyses that include flexible descriptive and predictive statistics. The algorithms accommodate the following tools:
- Machine learning
- Stochastic modeling
- Extreme value theory
- Real-time data collection
- Supervised and unsupervised learning
- Expert opinion and Bayesian belief networks
- “What-if” analysis and simulation
Talk to us today for a demo of XELA and how it could be used within your team environment to support further data analytics capabilities.