The amount of data generated in companies during the value chain and beyond is increasing immeasurably. The data can be real-time data as well as historical data and can come from a variety of sources. Examples include enterprise data such as ERP and CRM, machine data, log files, text, voice & video data, process data or location data.
However, all this data only becomes usable when information is extracted from it. To do so, it is necessary to intelligently merge the data and visually process it in real time. The knowledge gained from this is very valuable and contributes to the improvement and automation of processes or the creation of new business models. Your very decisive competitive factor!
CANCOM Analytics uses the latest technologies and a wide range of analysis methods to address precisely this issue, enabling you to implement almost any conceivable application scenario: from the visualization of actual conditions, to forecasting models for process optimization, to autonomous, self-learning systems. The following diagram provides an overview of the different levels of CANCOM Analytics.