For example, in the retail industry, you can find typical series of purchases. These series show you the different combinations of customers, products, and time of the purchase. With this information, you can identify potential customers for a particular product who have not yet bought this product. Furthermore, you can offer these products to the potential customers in due time.
In the manufacturing industry, for example, you can find combinations of components, materials, production machines, and external conditions that might lead to increased error rates. With this information, you can pro-actively prevent subsequent errors.