Predictive Analytics software helps companies predict future outcomes through techniques like statistics, data mining, machine learning or modeling. When businesses learn about future trends, they can come up with strategies to mitigate risk. Predictive analysis has moved from being a statistician or mathematician tool to use in preventing cyber-attacks, fraud, predicting consumer trends and streamlining operations. The software will take your raw data, aggregate it and analyze it with the aim of looking for patterns and give a prediction of future behavior. Company executives can then use the trends in their decision making. Data can be presented as 3-D charts or animated graphs which you can store, compare with other models or integrate your predictive Analytics software with other systems like SAS. To handle complicated data some of the models have introduced generalized regression. The statistical models can process data that involves both time and space. The introduction of Artificial Intelligence to Predictive Analytics software will lead to the creation of more timely and accurate models. Most of the software is open source, and you can have some deployed on cloud for use by SMEs. Usage of predictive software is large with most been deployed to analyze historical customer data online. The software predicts future outcome through “what ifs” scenarios.