The term data mining is primarily at home in the fields of Big Data and Smart Data, Artificial Intelligence, and Digital Transformation. Data mining refers to methods used to extract useful information from large volumes of data. The goal is to discover connections, patterns, or trends in often vast, unmanageable datasets that are not immediately apparent.
A simple example: An online shop collects millions of data points daily on its customers' purchasing behaviour. Using data mining, the shop can discover that customers who buy product A often also find product B interesting. Based on this insight, the shop can issue targeted recommendations – and thus increase its sales.
Data mining helps companies make better decisions by providing facts rather than gut feelings. What's important here is: data mining is not magic, but works with mathematical and statistical methods that have been specially developed for large datasets. Companies that use data mining are often one step ahead because they can react more quickly to changes in the market.
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