Real-time data transmission/real data streaming

Real-time data processing describes that data is evaluated and processed directly after collection. Nationwide internet access and a large number of network-capable objects favour real-time data processing. In this way, the interaction between different devices can also be investigated. Examples of real-time data processing in private use are smart home applications and communication between smartphones and smartwatches.

In an industrial context, the analysis and interpretation of data help to identify improvement measures within the process, but can also be used for preventive measures. In this way, the cause-effect analysis changes from an ex-post to an ex-ante view.

Requirements for use

Technical requirements

• Appropriate computing power
• Technological know-how
• Willingness of employees to change their way of thinking
• Existing (data) infrastructure
• Coordinated peripherals and processes