Process analysis
Gain precise insights into the condition, performance and efficiency of your systems.
Our process and quality control solution is the result of intensive research and development together with our customers and our deep industry knowledge. We understand the unique challenges faced by production plant operators and have developed a versatile and customisable solution designed to overcome these challenges and drive your success.
Our approach to process analysis and quality control is based on the use of state-of-the-art data analytics technologies and the modelling of suitable machine learning algorithms. By continuously collecting and analysing production data, we not only enable operators to gain a comprehensive insight into their manufacturing processes, but also provide comprehensive quality control. From monitoring machine performance and utilisation to analysing quality metrics, we provide you with the tools you need to get the most out of your equipment and keep productivity consistently high.
Our service around your process analysis
We are your competent partner when it comes to smart process analysis and quality control. That's why our area of responsibility covers everything that makes this possible in the first place - from edge devices and hardware and software solutions to sensors for machines and systems.
Process analysis and quality control - your benefits at a glance
With our solution, operators can monitor the production process in real time. By continuously analysing data, potential problems can be identified and resolved immediately before they lead to costly downtime.
Our data analytics platform enables precise and reliable quality control. By analysing production data, deviations from quality standards can be identified and corrected at an early stage to ensure that every part produced meets the highest quality requirements.
By providing comprehensive insights into the production process, we help operators to continuously optimise their operations. By analysing data, efficiencies can be identified and implemented to maximise production output and reduce operating costs.
Our data analytics solution also enables the implementation of predictive maintenance strategies. By monitoring machine data, we can predict potential breakdowns and schedule maintenance work in good time to minimise unplanned downtime and extend machine life.
We understand that every production process is unique. That's why we offer customised analytics that enable operators to gain the insights they need to address their specific challenges and achieve their goals.
FAQs Process analysis and quality control
What is process and quality control using data analytics?
Process and quality control using data analytics refers to the use of advanced data analysis methods to monitor production processes, identify potential problems and ensure the quality of manufactured products. It involves the continuous collection and analysis of production data to gain insights and make informed decisions.
What role does data analytics play in process and quality control?
Data analytics plays a crucial role as it enables operators to monitor and analyse their production processes in real time. By analysing production data, deviations from quality standards can be identified, potential problems can be predicted and proactively remedied and operational processes can be optimised.
What types of data are used for process and quality control?
A variety of data is used for process and quality control, including machine data such as temperature, pressure and speed, sensor data, production quantities, quality metrics and more. This data is continuously collected and analysed to gain insights into the production process.
What are the benefits of process and quality control using data analytics?
The benefits are many, including real-time monitoring of production equipment, improving product quality, optimising operational processes, reducing downtime through predictive maintenance and increasing overall production efficiency.
How can process and quality control using data analytics be implemented in my company?
Implementation depends on the specific requirements and circumstances of your company. It usually requires the integration of data analytics and monitoring systems into your existing production facilities as well as training your employees in the use of these systems. It is also important to set clear goals and metrics for process and quality control to measure success and drive continuous improvement.
How secure is my data when using data analytics for process and quality control?
Data security and privacy are critical. It is important to ensure that appropriate security measures are implemented to ensure the confidentiality, integrity and availability of your data. This can include the use of encryption technologies, access controls and privacy policies to ensure that your data is protected.
Get in touch with us 
For more information about our data analytics solutions and how we can support your business, please contact us for a personalised consultation. 
