Proficy CSense is industrial analytics and process optimization software that enables engineers and data analysts to analyze operations data, develop predictive models, and apply advanced analytics to improve production outcomes. Designed for process and production engineers, Proficy CSense helps uncover process inefficiencies, detect equipment issues earlier, and optimize operational performance by applying data science techniques to time-series data from historians, control systems, and other industrial sources. The software supports both guided and advanced analytics workflows, making it accessible to users with varying levels of data science expertise. Typical use cases include root cause analysis, soft sensor development, predictive maintenance, and control loop performance improvement. CSense is frequently used in process industries such as chemicals, food and beverage, and pulp and paper, where process variability can significantly impact quality, efficiency, and asset health. Key capabilities include: • Data wrangling and cleansing tools to prepare industrial data for analysis • Built-in machine learning and statistical modeling to identify trends and predict outcomes • Model deployment capabilities for integration with control and monitoring systems • Diagnostics and visualization tools for exploring relationships and process behavior • Drag-and-drop development environment that accelerates analytics use without requiring code Proficy CSense enables teams to build, validate, and operationalize models that can be monitored continuously and applied across plants or systems. The software supports deployment on-premise or in the cloud, providing flexibility to align with existing IT infrastructure and data strategies. By embedding analytics into production workflows, organizations can reduce process variability, enhance quality, and increase efficiency through data-driven decision-making.