DATA MODELING MADE SIMPLEYou may have been long frustrated by the absence of a simple Neural Net tool in the statistical software package you use regularly. No matter what industry you work for, chances are that predictive analytics has become an integral part of your everyday job. And the ready choices you have in terms of predictive model types available most likely do not include Neural Nets.Of course, we are not talking about a professional data scientist who has access to SAS Enterprise Miner or a similar highly sophisticated and prohibitively expensive tool. Only large companies with extensive data analytics operations can afford that kind of top of the line resource. However, a typical data analyst working in manufacturing, insurance, finance, biomedical or some other industry, even if lucky to have SAS STAT software, is essentially limited to using regression models. Granted, there are myriad of code snippets and examples online, but for those who are not willing to develop new approaches “from scratch” and go through the hassle of setting up an unfamiliar programming environment it's not much help.Having been in this situation, we decided to create a tool that could fill in the gap, and Neural Network Forecaster was born. Our tool can enable anybody who understands predictive analytics in general, to easily develop their own robust neural network models that in some cases can provide unparalleled performance and are fit for any production use. A remarkable feature of Neural Network Forecaster is that in order to use it you do not need to have any professional statistical software. Your entire project can be completed in Microsoft Excel.A well trained neural net model can often times perform better than ones using regression or decision trees. And so, with Neural Network Forecaster at your fingertips, you may want to think twice about purchasing expensive statistical analysis software or hiring professional data scientists for your company.