OnPoint CORTEX vs. Analytic Solver

OnPoint’s CORTEX™ is an advanced analytics platform designed to leverage both historical information and the insights of your process engineers to increase profitability by enhancing operational effectiveness, which encompasses improved production rates and minimized downtime. In contrast to conventional regression or statistical techniques, CORTEX employs machine learning in conjunction with robust computational power, enabling it to extract valuable insights from complex process data. Users can upload their data in its native format, and CORTEX will seamlessly clean it, address any missing values, and effectively handle categorical variables. Additionally, the platform offers tools for visualizing and removing outliers while allowing users to add rows and columns to investigate which variables have a significant influence on their processes. With its innovative algorithm, CORTEX eliminates the need for users to hunt for the best model, as MaGE produces a wide array of models along with a finely tuned ensemble model and provides performance metrics for each. Furthermore, CORTEX not only enhances decision-making through data but also equips users with the tools necessary to confidently navigate the complexities of their operational landscapes. Ultimately, CORTEX enables users to transform their data into actionable insights with remarkable efficiency.

Analytic Solver Optimization provides full compatibility with the Excel Solver and is adept at tackling various traditional optimization problems without uncertainty, regardless of their size or complexity. Its distinguishing feature lies in its ability to algebraically analyze the structure of your model while harnessing the complete processing power of multiple cores available on your computer. This tool can efficiently solve nonlinear models that are up to ten times larger and linear models that can be forty times larger than those manageable by the Excel Solver, resulting in significantly quicker solutions and the ability to incorporate Solver Engines capable of handling millions of variables. Furthermore, Analytic Solver Simulation offers a highly intuitive yet powerful platform for conducting Monte Carlo simulations, performing risk analysis, creating decision trees, and optimizing simulations, all while utilizing Frontline’s advanced Evolutionary Solver. With an extensive selection of 60 probability distributions, including compound distributions, automatic fitting, rank-order correlations, and copula-based correlations, as well as 80 statistical measures, various risk assessments, Six Sigma functions, and the potential for multiple parameterized simulations, it emerges as a comprehensive resource for intricate analytical requirements. This rich array of features guarantees that users can conduct thorough analyses efficiently and accurately, solidifying its status as an essential tool in both optimization and simulation fields. Ultimately, the versatility and power of Analytic Solver make it a go-to choice for professionals seeking to enhance their analytical capabilities.