Your measuring data is far too valuable to stay unused.

Many large and medium-sized companies are making increasing use of sensors as part of industry 4.0 ...

and data-driven business for their products, components and production lines and find themselves faced with a fast growing tidal wave of data. This tidal wave of data contains genuinely valuable nuggets of information, which could be discovered through the use of cross-disciplinary processing of measured data via Big Data technologies. To use the full potential of your valuable data capital engineering expertise and profound IT-skills are required.

Isolated measuring data silos can’t be completely exploited.

Local storage and organization of measurement data from different areas and departments ...

affect many large and medium-sized companies. Thus, many companies have well-organized and information-rich “data silos” that represent more of a department specific “spot solutions” ,but seem to be viewed as isolated data sources viewed companies organizational perspective. By integrating effective joining and communicating the department and company-wide data, the extraction of value from the data can be maximized. As a result, the whole potential of your gathered measurement data can be fully exploited. When viewed in their entirety, your data can deliver more.

Your measuring data can lead the way into the future.

The prevention of failure, condition-based maintenance or even ...

service life time elongation are besides development processes, very important topics of various organizational units and departments. Comprehensive Big Data Analytics enable you to recognize trends and make reliable predictions about your product or component. After a professional measurement data processing and supplementary model building, we can create additional value.




Big Data in the industry needs technically-oriented solutions.

The processing of sensor data in modern systems has a specific set of hidden challenges ...

which cannot be processed transparently in its full data volume. Often, "standard solution methods" with a main focus on IT and statistics cannot replace required technical engineering methods as they do not lead to the desired results sufficiently. Increasing complexity and variety of the products and systems has increased the demand for advanced and system individual data analysis methods in order to extract the value you need. Your measuring data can only be understood and interpreted correctly by efficiently exploiting its full potential.