Data science for productionSoftware solutions for intelligent data analysis
To increase quality and productivity in production, IconPro offers software-based solutions for process monitoring and optimization, predictive maintenance of measurement systems and cognitive quality control. This includes correlation analysis of production and quality data, process capability determination, dynamization and minimization of maintenance intervals as well as AI-based image recognition and quality control.
We use state-of-the-art programming tools as well as state-of-the-art machine learning and data mining algorithms. We also develop software for individual use cases and requirements. IconPro‘s customers benefit from automated data analysis without having to build up their own resources in the field of data science. This is Data Analytics as a Service!
Apply intelligent data analysis for
- Real-time determination and visualization of process and quality parameters
- Automated correlation analysis of process and quality parameters
- Prediction and optimization of future process and quality states
Utilize your production data from
- Control computers or programmable logic controllers (PLCs) of production units
- MES or PLC systems for production management or statistical process control
- ERP databases for electronic resource planning, e.g. SAP or Oracle
Benefit from your data through intelligent data analysis
Our team of data scientists, computer scientists and production engineers has already supported numerous companies from various industries in their digital transformation. Based on our know-how in artificial intelligence methods, we derive correlations and predictions from data that are difficult or impossible to understand using classical methods. In this way, we not only generate additional process knowledge, but also always aim for a quantifiable added value for our customers.
Minimize scrap, inspection effort, and manual process steps with automated regression and decision analysis.
Identify the fastest process chains by analyzing your cycle times using process mining and reduce downtime by optimizing maintenance intervals.
Monitor and optimize process capabilities by combining statistical process control (SPC) and AI-based methods for process and quality data analysis.
Video-BlogBasics & impulse lectures
The blog for intelligent data analysis by IconPro – Learn more about the practical use of Data Science in production with our information from experts.
We provide a vivid introduction to the basics of artificial intelligence, machine learning, data mining and process mining. We also report on our daily development work and highlight various application cases and reference projects.
How are data science projects realized? What can IT and communication infrastructures look like in production? What tools and libraries are available for the application of artificial intelligence? Find exactly the content that is relevant for you and gain informative insights into best practices for data science in manufacturing companies.