SIMULATION: Modeling Cause & Effect for Powerful Predictive Analytics

Free content from CannaBI by Dimensional Insight

There are two main approaches to implementing predictive analytics: pattern recognition and simulation. Artificial intelligence and machine learning, which generate a lot of buzz across industries, employ pattern recognition, while simulation is another, more human alternative. Simulation is a powerful approach to understanding the causes behind business problems, predicting future trends, and recommending optimum decisions. This ebook explains simulation — where it came from, where it is headed, 5 stages in developing a simulation — and most importantly, how it makes big data useful by producing actionable predictions.