Data mining

Data mining is a process of analyzing large amounts of data to discover useful information. It is often used by companies and organizations to gain insight into their data and discover trends that would otherwise be difficult to find.

How does data mining work?

Data mining begins by collecting data from various sources, such as databases, files or social media. Next, this data is organized and prepared for analysis. This may include removing duplicate records, cleaning data, converting data into a uniform format and selecting relevant variables.

Then, advanced analysis techniques are applied to explore the data and discover patterns. This involves the use of various algorithms, such as clustering, classification, regression and association rule analysis. By applying these techniques, customer profiles, for example, can be identified, fraudulent transactions detected or production processes optimized. Finally, the results of data analysis are presented in an understandable form, for example, in the form of graphs, tables or reports. This allows organizations to make decisions based on data-driven insights and improve their performance.