Deutsch: Daten
Data are values of qualitative or quantitative variables, belonging to a set of items. Data in computing (or data processing) are represented in a structure, often tabular (represented by rows and columns), a tree (a set of nodes with parent-children relationship) or a graph structure (a set of interconnected nodes). Data are typically the results of measurements and can be visualised using graphs or images.

In an industrial or manufacturing context, "data" refers to the raw information or facts that are collected, analyzed, and used to make decisions, improve processes, and optimize operations. Data can be in the form of numbers, text, images, or other forms of digital or analog information.

For example, in the manufacturing industry, data can be collected from various sources, such as sensors and machines, to monitor and optimize production processes, such as temperature, pressure, and speed. Data can also be used to track and analyze production yields, quality, and efficiency. In the logistics industry, data can be used to track and optimize the movement of goods and materials, from the point of origin to the point of consumption.

In the field of maintenance, data can be used to predict the failure of a machine or equipment and schedule maintenance accordingly, this is called Predictive Maintenance.

Data can also be used in the field of safety, for example, data can be collected from cameras, sensors, and other sources to monitor the safety of workers and identify hazards.

Data can also be used in the field of energy management, for example, data can be collected from energy meters and analyzed to identify patterns and opportunities for energy savings.

It's worth noting that data is becoming increasingly important in many industries, as it allows organizations to make more informed decisions, improve efficiency, and increase productivity. With the rise of technologies like IoT (Internet of Things) and AI (Artificial Intelligence), data collection and analysis are becoming more automated and sophisticated, leading to new opportunities for industry to optimize operations and improve performance.


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