Forecastagility predictive modeling is a powerful, self-learning tool that can deal with massive amounts of data.

Sorts through billions of data sources to detect anomalies so that you can react quickly.

It sorts through billions of public and private data sources to detect anomalies so that you can react quickly. Like all Forecastagility modules, it is scalable, extendable, and easily integrates with other enterprise data systems. It can be customized to meet your specific needs.

Forecastagility includes risk scoring and dashboard features to provide meaningful data to help you spot inefficiencies and risks, inform policy, and improve practice. Dashboards continuously show new vulnerabilities based on streaming data from multiple sources showing seasonal forecasting and profiling, outlier detection and correction, pivot forecast models, and user-defined forecasts in monthly, weekly, or daily time increments.