Industrial Analytics Software
Industrial analytics software that improves asset and process performance with a Process Digital Twin
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Proficy CSense
Proficy CSense
Overview
![Industrial Analytics Software - Reduce Process Variability]()
![Industrial Analytics Software - Speed Troubleshooting]()
![Industrial Analytics Software - Increase Engineering Productivity]()
![Industrial Analytics Software - Decrease Downtime]()
![Industrial Analytics Software - Optimize with a Process Twin]()
![Industrial Analytics Software - Improve Data Integrity]()
![Customer Story - Skjern Paper]()
![Industrial Analytics Software - Enhance Engineering Productivity]()
![Industrial Analytics Software - CSense Editions]()
Optimize with Industrial Analytics Software with 5-in-1 Capabilities
Proficy CSense industrial analytics software uses AI and machine learning to enable process engineers to combine data across multiple sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, utilization, and productivity.
Uniquely providing five analytics capabilities in one package, Proficy CSense helps organizations around the world to achieve rapid business value. Engineers and data scientists can analyze, monitor, predict, simulate, and optimize and control setpoints in real time.
Additionally, Proficy CSense provides capabilities to mine insight from historical data and rapidly develop, test, and deploy simple calculations, predictive analytics, and optimization and control solutions to reduce variability and improve operations.
Uniquely providing five analytics capabilities in one package, Proficy CSense helps organizations around the world to achieve rapid business value. Engineers and data scientists can analyze, monitor, predict, simulate, and optimize and control setpoints in real time.
Additionally, Proficy CSense provides capabilities to mine insight from historical data and rapidly develop, test, and deploy simple calculations, predictive analytics, and optimization and control solutions to reduce variability and improve operations.
Outcomes
Speed Troubleshooting
Use data to troubleshoot causes of asset and process performance issues rapidly
Increase Engineering Productivity
Proficy CSense’s visual analytics accelerate problem detection and improve efficiency
Decrease Downtime
Monitor and ensure health and performance of base-layer PID control loops
Optimize with a Process Twin
Mine new insight from industrial data to maximize return on assets
Improve Data Integrity
Validate and clean raw sensor data at the source to ensure integrity of downstream systems
Enhance Engineering Productivity
Creating a Process Twin for smarter manufacturing is easy with Proficy CSense. Visual drag-and-drop analytics accelerate time to value and reduce dependence on data scientists and programmers. Online demos enable rapid mastery of the software with easy-to-follow demonstrations and guided simulations.
- Rapid wizard-driven data mining for engineers for fast time-to-insight
- Easy visual drag-and-drop functional blocks for subject matter experts and engineers
- Analytic solution templates without programming: simple calculations, data cleaning, maths, statistics, machine-learning models, real-time optimization, and advanced process control
- Access to popular script languages and CSense SDK for powerful analytic solutions with plug-and-play incorporation of Python, and 3rd party .Net content
CSense Editions
Runtime Edition
⦁ For permanent production, deployment, and management of analytic solutions
⦁ Includes Architect and Runtime Manager
Developer Edition
⦁ For data analysis and analytic solution development and testing
⦁ Includes both the Continuous and Discrete & Batch Troubleshooters, Architect, and Runtime Manager components for solution development and testing purposes only
Troubleshooter Edition
⦁ For offline, ad hoc, and on-demand data analysis, process modelling, and troubleshooting
⦁ Includes the Continuous and Discrete & Batch Troubleshooters, along with all data connectors
Where to Buy?
![GE Vernova]()
Where to Buy?
Leverage GE Vernova’s partner ecosystem of deep domain knowledge and industrial expertise.
Resources
Blogs
Learn how smart factories can help industrial companies achieve their lean and circular economy goals, while also driving value for their businesses. Learn how real-time utilities software analytics enable engineers & operators to continuously benchmark and improve utilities consumption at plants and facilities. Knowing recent manufacturing industry trends can help you pick the best MES software. Learn how to read reviews and compare solutions with technology trends.
25 Results
Mar 27, 2025
3 Minute Read
How to Drive Value with Lean Circular Economy Solutions & Manufacturing Smart Factories
AUTHORS:
Benjamin Whiteman
Mar 27, 2025
3 minutes
Benefits of Utilities Analytics & Automation Software for Energy Savings and Efficiency
AUTHORS:
Benjamin Whiteman
Mar 27, 2025
3 minutes
Utilizing Manufacturing Industry Technology Trends to Select the Ideal MES Software
AUTHORS:
Joe Gerstl
Videos
GE Vernova's proven industrial analytics software optimizes asset and process performance - as well as sustainability efforts - with a Process Digital Twin. In the Smart Factory, digitized route operations, work instructions, BOMs, and specifications help manufacturers to prevent operators from making mistakes – supporting first time right. Automotive manufacturers are racing to increase supply and availability of electric vehicles to meet growing consumer demands. Supply is constrained due to battery manufacturing challenges as manufacturers are trying to scale up production. By leveraging dynamic planning and advanced data analytics, manufacturers can significantly reduce the risk of operator errors, thereby supporting a “first time right” approach. Our solutions enable proactive decision-making, allowing for real-time adjust Learn how GE Vernova's latest version of Proficy CSense provides new tools for optimizing unhealthy control loops and creating simulations – in just minutes. Meet our GE Vernova expert in this session on Operationalizing AI on the Shop Floor. Watch this AWWA webinar to see how water engineers can use self-serve analytics to solve their toughest challenges. In this webinar, you will hear from leading minds from Electrification Software at GE Vernova, Amazon Web Services, and Stellantis on how to prepare and thrive during this generational shift from ICE to EV. This webinar focuses on the path General Motors is taking to secure their future, by redefining its manufacturing technology today. New Comprehensive AI/ML enabled Cloud-Based or On-Prem Industrial Analytics Optimize OEE with plant applications and analytics. Achieve Centralized, Remote and Mobile Operations.
12 Results
Proficy 2023 Webinars: Proficy CSense Industrial Analytics & Process Digital Twins
Smart Factory for First Time Right: Use Manufacturing MES to Manage Orders, Non-Conformance and Traceability
Enhancing EV Battery Production
From 0-100 Improving first pass quality and on-time delivery
PLC & SCADA Control Loop Optimization in Minutes
Proficy Demo: Operationalizing AI on the Shop Floor
Predicting Asset Failure and Process Changes with Self-Serve Analytics
Deliver a Sustainable ICE to EV Transition
General Motors: Redefining Today's Manufacturing Technology for Tomorrow’s Customer
Proficy CSense 2024: Optimize Operations with Advanced Analytics
Improve OEE and Quality with Analytics
How to Gain Real-Time MES KPI Visibility in Proficy Smart Factory
End of Result
Additional Resources
5 Results
FAQs
FAQs
What is Proficy Csense?
Proficy CSense is industrial analytics software used to improve manufacturing performance by analyzing and optimizing process and control data. It helps reduce variability and improve KPIs like throughput, yield, recovery, emissions, and downtime. Using AI, ML, and optimization algorithms, CSense supports offline or real-time analysis and control, with flexible deployment on-premises, at the edge, or in secure cloud environments like AWS and Azure.
What is industrial analytics software?
Industrial analytics software is used to optimize asset, process, and operations performance using OT data across the production value chain. Because this data is often siloed and complex, AI, machine learning, and optimization algorithms are used to uncover insights and correlations that are difficult to detect manually. These tools support root cause analysis, performance prediction, quality improvement, and reductions in waste, energy use, downtime, and emissions.
How is industrial analytics software used in manufacturing and industrial operations?
Manufacturers use industrial analytics software to improve operational performance by analyzing time-series data from sensors, control systems, and historians. It helps identify inefficiencies, predict failures, monitor process stability, and optimize control loops. These insights support continuous improvement across production, maintenance, and quality—for example, by detecting equipment wear early, uncovering sources of variation, or recommending adjustments to reduce energy or material waste.
How does industrial analytics software help improve operational efficiency and productivity?
Industrial analytics software identifies inefficiencies, process drift, and bottlenecks by analyzing historical and ongoing operations data. It enables teams to take corrective action—such as tuning control loops, adjusting setpoints, or improving equipment maintenance strategies—before issues impact performance. These optimizations help reduce downtime, energy use, and material waste, while improving throughput, consistency, and product quality.
What industries benefit the most from implementing industrial analytics software?
Industries with complex processes and large volumes of operational data benefit most from industrial analytics—especially Food & Beverage, Consumer Packaged Goods (CPG), Automotive and Discrete Manufacturing, Water and Wastewater, and Utilities. These sectors use analytics to improve product quality, reduce waste, enhance efficiency, and increase yield and uptime. Other industries—such as Metals & Mining, Chemicals, Pharmaceuticals, and Paper—also gain value by applying analytics to optimize control strategies and reduce process variability.
What are the key features to look for in industrial analytics software?
Look for solutions that support the full industrial analytics journey—from exploring and analyzing raw data to monitoring performance, forecasting outcomes, simulating scenarios, optimizing setpoints, and executing control actions. Strong platforms also offer flexible deployment options (on-prem, cloud, edge), integration with time-series data sources like historians and SCADA, and prebuilt templates that accelerate time to value for common manufacturing challenges.
Proficy CSense uniquely brings all five capabilities—analyze, monitor, predict, simulate, and optimize—into one proven platform. It includes out-of-the-box templates for high-impact use cases such as sensor health monitoring, PID control loop tuning, alarm pattern recognition, anomaly detection, process centerlining, statistical process control, and multi-objective optimization. These features help manufacturers reduce variability, improve quality, and boost yield without starting from scratch.
Proficy CSense uniquely brings all five capabilities—analyze, monitor, predict, simulate, and optimize—into one proven platform. It includes out-of-the-box templates for high-impact use cases such as sensor health monitoring, PID control loop tuning, alarm pattern recognition, anomaly detection, process centerlining, statistical process control, and multi-objective optimization. These features help manufacturers reduce variability, improve quality, and boost yield without starting from scratch.
How does industrial analytics software process and analyze large volumes of operational data?
Industrial analytics platforms process large volumes of time-series and event-based data using a combination of in-memory, batch, and streaming analytics methods. Depending on the use case, they may analyze data continuously, at scheduled intervals, or in response to specific triggers. These platforms are designed to work with high-frequency data from historians, sensors, and control systems—extracting insights that support timely decisions without overwhelming storage systems or delaying action.
Proficy CSense integrates tightly with Proficy Historian to support sub-second and even microsecond data resolution. It can execute analytics on a scheduled basis for tasks like model training, or in streaming mode to support closed-loop optimization and autonomous actions.
Proficy CSense integrates tightly with Proficy Historian to support sub-second and even microsecond data resolution. It can execute analytics on a scheduled basis for tasks like model training, or in streaming mode to support closed-loop optimization and autonomous actions.
What is the role of industrial analytics software in predictive maintenance and downtime reduction?
Industrial analytics software supports predictive maintenance by identifying subtle patterns in operational data that signal early-stage issues—such as sensor drift, valve wear, or control loop instability. By detecting these signs before they escalate into failures, teams can prioritize maintenance, avoid unnecessary interventions, and reduce the risk of unplanned downtime. This proactive approach improves asset reliability, extends equipment life, and lowers maintenance costs.
Proficy CSense can automate alerts or initiate corrective actions, such as adjusting setpoints or switching equipment into standby mode to prevent disruptions. For example, it can detect increasing cycle time in a pump, correlate it with declining efficiency, and automatically flag the issue or adjust control logic to reduce system strain—helping teams avoid costly breakdowns.
Proficy CSense can automate alerts or initiate corrective actions, such as adjusting setpoints or switching equipment into standby mode to prevent disruptions. For example, it can detect increasing cycle time in a pump, correlate it with declining efficiency, and automatically flag the issue or adjust control logic to reduce system strain—helping teams avoid costly breakdowns.
How does industrial analytics software integrate with other systems like SCADA, MES, and ERP?
Most solutions integrate using open standards such as OPC, MQTT, REST APIs, ODBC, and OLEDB to connect with existing systems. This ensures data can flow across SCADA, MES, ERP, and analytics platforms for unified insights.
Proficy CSense supports all these protocols directly or via custom connectors, enabling seamless integration with diverse industrial environments. This flexibility allows users to pull data from multiple sources—such as a historian, MES, or lab system—combine it for advanced analysis, and send results or recommendations back into operational systems to drive timely action.
Proficy CSense supports all these protocols directly or via custom connectors, enabling seamless integration with diverse industrial environments. This flexibility allows users to pull data from multiple sources—such as a historian, MES, or lab system—combine it for advanced analysis, and send results or recommendations back into operational systems to drive timely action.
What role does artificial intelligence (AI) and machine learning (ML) play in industrial analytics software?
AI and ML technologies are used in industrial analytics to detect patterns, train predictive models, and continuously improve performance based on new data. They help manufacturers forecast demand or downtime, simulate process behavior under varying conditions, and uncover root causes of quality or yield issues—far beyond what manual analysis can achieve.
Proficy CSense uses AI and ML to monitor, predict, simulate, and control operations. For example, CSense can detect an early drift in sensor behavior, simulate the downstream impact on product quality, and trigger an optimized control response—either as a recommendation or a real-time automated action in closed-loop systems.
Proficy CSense uses AI and ML to monitor, predict, simulate, and control operations. For example, CSense can detect an early drift in sensor behavior, simulate the downstream impact on product quality, and trigger an optimized control response—either as a recommendation or a real-time automated action in closed-loop systems.
What are the challenges of implementing industrial analytics software in complex environments?
Common challenges include siloed or low-quality data, lack of standardization across sites, and change management during implementation. Success depends on strong data infrastructure, stakeholder alignment, and tools that support flexible deployment and collaboration.
Proficy CSense addresses these challenges by supporting reusable templates, centralized analytics management, and scalable deployment across plants and teams. For example, a team can develop a model to detect energy inefficiencies at one site, validate it, and then deploy it enterprise-wide—accelerating value while maintaining consistency.
Proficy CSense addresses these challenges by supporting reusable templates, centralized analytics management, and scalable deployment across plants and teams. For example, a team can develop a model to detect energy inefficiencies at one site, validate it, and then deploy it enterprise-wide—accelerating value while maintaining consistency.
How does industrial analytics software contribute to Industry 4.0 and digital transformation?
Industrial analytics software transforms raw OT data into insights that power real-time visibility, predictive intelligence, and data-driven optimization—cornerstones of Industry 4.0. It enables smarter automation, supports predictive maintenance, and reduces energy and material waste—allowing manufacturers to move from reactive to proactive and autonomous operations.
These tools also help organizations break down data silos, standardize processes across sites, and accelerate digital maturity. By bridging the gap between operations and IT, industrial analytics lays the foundation for scalable digital transformation. The result is greater agility, improved decision-making, and more resilient manufacturing operations.
These tools also help organizations break down data silos, standardize processes across sites, and accelerate digital maturity. By bridging the gap between operations and IT, industrial analytics lays the foundation for scalable digital transformation. The result is greater agility, improved decision-making, and more resilient manufacturing operations.
What are the cybersecurity considerations when using industrial analytics software?
Organizations should ensure data remains secure and under their control, especially in autonomous or closed-loop applications. Analytics models must be reliable and tested, and systems must follow strong access control and encryption practices.
Proficy CSense can be deployed securely within a customer’s firewall or virtual private cloud (e.g., AWS or Azure) and supports safe, validated analytics-driven actions that preserve process safety and decision reliability.
Proficy CSense can be deployed securely within a customer’s firewall or virtual private cloud (e.g., AWS or Azure) and supports safe, validated analytics-driven actions that preserve process safety and decision reliability.
How can industrial analytics software support multi-site operations and scalability?
Analytics platforms that support centralized management and template reuse allow companies to build solutions once and deploy them across multiple plants. This creates consistency while still allowing for local customization.
Proficy CSense enables global collaboration by allowing subject matter experts to create analytics templates, validate them at pilot sites, and then scale them across facilities—creating a flywheel of shared knowledge and accelerated value.
Proficy CSense enables global collaboration by allowing subject matter experts to create analytics templates, validate them at pilot sites, and then scale them across facilities—creating a flywheel of shared knowledge and accelerated value.
Customer Stories
Customer Stories
Lonmin Increases Smelter Throughput with Proficy CSense Read how ArcelorMittal used Proficy CSense to eliminate cobbling of coils in their steel manufacturing operations, leading to faster cycle times. Learn how Exxaro and Wabtec increase throughput at their coal operation after implementing Proficy’s CSense with digital twin capabilities. Explore how a chrome ore processor optimizes production processes with GE Vernova’s Proficy CSense solution. Learn how Impala Platinum reduced process variation by 40% with Proficy CSense, a powerful solution from GE Vernova. Learn how Skjern Paper uses Industrial AI and Digital Twin technology to monitor and predict process variation and improve product quality. Read how global leader Rockwool is using Proficy CSense to help automate control of a complex production process, including environmental facilities. Read how Pfizer uses software to collect data from their manufacturing sites using predictive maintenance software, improving its operational performance. Learn how Herning Vand uses historical data for valuable insights. Discover the impact on water management and decision-making. See how Fibo gains valuable insights to improve quality in hours through advanced analytics with Proficy software: CSense, MES and Historian. Learn how a global manufacturer used Digital Twin technology to optimize energy efficiency and reduce net energy consumption.
11 Results
Lonmin Improves Recovery and Increases Smelter Throughput with Proficy CSense
ArcelorMittal South Africa Improves Cycle Times in Steel Manufacturing Industry with Proficy CSense
Exxaro and Wabtec bump up throughput at coal operation using Proficy CSense
Chrome Ore Processor Optimizes Production with Proficy CSense
Impala Platinum reduces process variation by 40% with Proficy Csense
Skjern Paper Uses Proficy CSense AI to Improve Product Quality and Reduce Waste
Rockwool Automates Production Process Control With Proficy CSense
Pfizer Cuts Downtime by Moving to Proficy CSense Predictive Maintenance
Herning Vand gathers valuable knowledge with their historical data using Proficy CSense
Fibo Gains Insight to Improve Quality in Just Hours through Analytics
China-Based Manufacturing Conglomerate Uses Proficy CSense AI to Optimize Energy Efficiency of Cement Cooler Process
End of Result
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