The STATISTICA HP 12 analytics platform is designed to leverage information contained in extremely large data sets using massively parallel and in-memory processing. High performance (HP) technology makes it possible for users to bring supercomputing power to their big data, leveraging multiprocessor servers that are rapidly becoming more affordable and widely available at large enterprises as well as SMEs. For example, the Microsoft Windows server-based environment is available with up to 256 logical processors with Windows Server 2008 R2, and up to 640 logical processors with Windows Server 2012. The platform’s architecture provides optimizations that involve massive parallelization during the model building process, as well as the scoring process. All advanced modeling algorithms — including the most powerful ensemble models such as random trees forest, gradient boosted trees, and others — are implemented to take advantage of large numbers of cores and available RAM for efficient in-memory model building against big data.