Streaming data analysis is particularly important in the areas of big data and smart data, artificial intelligence and digital transformation. It describes an approach in which large volumes of data are analysed in real time as they are generated and flow through systems. This means that there is no waiting until all the data has been collected. Instead, information is processed and analysed immediately.
A practical example: think of an online shopping platform. Thousands of users click on products, add items to their shopping basket or make payments at the same time. Thanks to streaming data analysis, the company can immediately recognise which products are popular, detect unusual activity (e.g. attempted fraud) or make recommendations in real time.
In contrast to conventional data analysis, data is analysed immediately rather than retrospectively. This enables companies to react very quickly to new trends, problems or opportunities. Streaming data analysis is therefore a key to remaining flexible and successful in the digital age.















