Big Data is the collection of large and complex volumes of data that are difficult to process with traditional database management tools and applications. The volume, variety and velocity of data coming into organizations continue to reach unprecedented levels. This phenomenal growth means that not only must you understand big data in order to decipher the information that truly counts, but you also must understand the possibilities of what you can do with big data analytics. Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages. KAI engineers are experts in the area of Big Data and have extensive experience with tools and technologies such as Map Reduce, MongoDB, Pentaho, and Nutch. We also have worked extensively with MongoDB and we integrate our tools with it. MongoDB is a document database that provides high performance, high availability, and easy scalability. We utilize Big Data by applying inferential statistics and concepts (regressions, nonlinear relationships, and causal effects) from large data sets to reveal relationships, dependencies and perform predictions of outcomes and behaviors.