Predictive analytics involves using historical data to forecast trends and behavior in order to capitalize on opportunities and reduce risk.
Awareness of statistically demonstrated correlations, as with cyclical timing analysis, allows for prediction of future events. It’s pattern recognition, based on collections of indicators. The wider the body of factors and more exact the match to past patterns reflecting identifiable events and behavior, the more reliable the prediction.
Predictive analytics as a corporate management practice is growing in popularity. Companies like Olive Garden and Best Buy are using it as a means to increase efficiency and profits.
Federal and state criminal justice systems also use predictive analytics to help reduce crime.
One of the oldest forms of predictive analytics involves prediction through comprehensive astrology and numerology, dating back more than 2000 years. These esoteric sciences (empirical, based on observation) aren’t anything to do with today’s modern triviality (e.g., newspaper and on-line horoscopes).
Predictable, repetitive patterns allow for scientific projection. Handwriting analysis is also based on predictive analytics, although it’s important to note that identifying past and current behavior does not predict future behavior 100%.
Objective empirical research involving public figures and people of all walks of life, and real-world concerns, allow me to offer crucial personality and compatibility analysis, and predictive intelligence.
Rigorous statistical methods involving many layers of checks and balances give you extraordinary accuracy rates and a tremendous edge over your competition.
Copyright © 2010 Scott Petullo