Data mining
Data mining is the process of discovering patterns, trends, and insights from large datasets using various techniques such as machine learning, statistics, and database systems. It involves extracting useful information from data to make informed business decisions and predictions.
One common example of data mining is market basket analysis, where retailers analyze customer purchase data to identify product associations and trends. This information can be used to optimize product placement, improve marketing strategies, and increase sales.
Another example is customer segmentation, where companies group customers based on their behavior, demographics, and preferences. This helps businesses tailor their products and services to meet the specific needs of different customer segments.
Overall, data mining plays a crucial role in various industries, including retail, finance, healthcare, and telecommunications, by helping organizations gain valuable insights and drive business growth.
For more information on data mining, you can visit Wikipedia.