Predictive analytics a.k.a. “statistics on steroids” is a powerful tool to predicting future events.  It involves a combination of statistical methods, data mining and artificial intelligence applied to current and historical data in order to make inferences about the future. Predictive analytics is an excellent source of efficient solutions for any data-rich organisation.

Some typical problems for predictive analytics:

• Predicting customer behaviour and customer segmentation,
• Police departments use it in detecting and predicting crime patterns;
• Reliability and failure time analysis.

While some analytical techniques have already become widely used in certain industries (e.g. logistic regression in credit scoring, decision trees and clustering in marketing, neural networks in fraud detection), others have started to receive more attention rather recently (e.g. survival analysis, support vector machines, Bayesian networks).

Due to the ever growing quantities of data becoming available to organisations and the constantly advancing technology, the range of applications of predictive analytics will be increasing more and more in the coming years. Predictive analytics is an excellent source of efficient solutions for any data-rich organisation.

Our main areas of specialisation:

• Analytical customer relationship management, 
• Credit risk scorecards and risk-adjusted pricing, 
• Fraud detection.