Industrial analytics software that improves asset and process performance with a Process Digital TwinGet Your Free Trial
Proficy CSense from GEDigital uses AI and machine learning to enable process engineers to combine data across industrial data sources and rapidly identify problems, discover root causes, predict future performance, and automate actions to continuously improve quality, utilization, productivity, and delivery of operations.
Uniquely providing five analytics capabilities in one package, Proficy CSense has helped organizations around the world reduce costs by turning raw data into rapid business value. Engineers and data scientists can analyze, monitor, predict, simulate, and optimize and control setpoints in real time through Proficy CSense.
Additionally, Proficy CSenseprovides the 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.
Leverage modern analytics visualization for faster response
Staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require that process engineers need to be data scientists.
Experience Proficy CSense for yourself. Register today to download a 30-day free trial license.
According to IndustryWeek research, 70% of companies want to learn more about analytics, but the big question is how to get started.
With industry-leading expertise in data science and analytics, GE Digital can help.
We’re offering 6 free hours of consulting to jump start your analytics program in conjunction with Proficy CSense, the world’s most powerful industrial analytics software with 5 capabilities in one very affordable package.
Get 6 Free Hours of Analytics Consulting - $1500 Value – Provided with any purchase of Proficy CSense*
Combine data and use analytics and machine learning to improve process variability
Use data to troubleshoot causes of asset and process performance issues rapidly
Proficy CSense’s visual analytics accelerate problem detection and improve efficiency
Monitor and ensure health and performance of base-layer PID control loops
Mine new insight from industrial data to maximize return on assets
Validate and clean raw sensor data at the source to ensure integrity of downstream systems
Watch this series of 4 minute videos and see how AI and Machine Learning help rapidly identify problems, discover root causes and predict future performance.
Proficy CSense’s Troubleshooter enables engineers to rapidly troubleshoot continuous, discrete, or batch manufacturing process performance by mining insight from available sensor and production data.
Seamless connectivity, rich visualization, and predictive analytics enable users to analyze operating scenarios, quantifying the impact that operational changes will have on key-performance metrics and identifying causes for performance variation.
Proficy CSense’s Architect enables engineers to rapidly develop analytic solutions that typically improve production throughput, yield, quality, and efficiency with significant margins.
A comprehensive analytic solution-development environment provides visual analytic building blocks to build and test calculations, predictive analytics, and real-time optimization and control solutions with connectivity to real-time and historical data sources and drag-and-drop access to rich functional libraries.
Solutions are saved as reusable templates for easy deployment to similar assets or process units and permanently deployed into production using the Proficy CSense Action Object Manager.
While Proficy CSense’s Troubleshooter enables engineers to find answers faster with analytics-guided data mining and process-performance troubleshooting, CSense Architect allows them to more easily capture expert knowledge and best practices—combined with insight mined from data with CSense Troubleshooter—into high-value analytic templates for rapid enterprise-wide deployment.
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.
Today, staying competitive means progressing with machine learning and analytics. Fortunately, the journey to success doesn’t require that process engineers need to be data scientists.
In this on-demand webinar, you will learn how to align engineering domain expertise to five capabilities:
Read how Proficy CSense helps our customers improve production throughput, yield, quality, and efficiency.
Delivering clean water
Analyzing production data
Some systems are just too complex and have too many variables for operators to run optimally. That’s when we need the help of dedicated advanced-control intelligence that can deal with the complexities of our unique problems.
We use Proficy’s advanced analytics as a kind of process intelligence (PI), so we have benefited from all the data we collect. We have done an energy project where we reduced stirring in the process tanks by 35%-45%. It is not necessarily the energy we have saved (as the price is low), but the reduced operation we have and thereby less wear and maintenance. The next project is CO2 reduction in aeration tanks, where we will try to optimize O2 in relation to nitrous oxide emissions.
We achieved some excellent results with our first project, and we see a great future optimization potential with the tool.
Learn about multiple online courses that explain the benefits and functionality of CSense.
Learn about our introductory series and take your first steps in applying powerful industrial analytics software in your operations.
Drive smarter operator decisions with model-based high performance HMI for faster response and development.
Reach manufacturing excellence through Industrial IoT insights and intelligence.
Powerful industrial time-series data collection for on-premise and cloud-based storage and analysis