Predictive Analytics employs advanced analytics capabilities spanning ad-hoc statistical analysis, predictive modeling, data mining, text analytics, optimization, real-time scoring and machine learning.
What is Predictive Analytics?
The practice of extracting information from existing data sets in order to determine patterns and predict future outcomes and trends. This is done using ad-hoc statistical analysis, date mining, optimization, predictive modeling, text analytics and machine learning.
Why predictive analytics?
Predict with confidence what will happen next so you can make smarter decisions for your organization. Make better decisions by optimizing trade-offs between business goals, such as costs or customer service, while considering predictions, rules, and constraints on available resources, to recommend the best course of action, whether you want to decide on a configuration, a design, a plan, or a schedule.
Manage Resources more efficiently
Success Driven by Data
A platform which is flexible and scalable for one to many analytics