In this chapter, we learned about two data mining techniques: Market Basket Analysis and Customer Cohort Analysis. The first one tells us about hidden relations between store departments or products based on the customers' behavior. The second shows the time evolution of the number of customers, revealing differences between different customer segments or cohorts.
There are a large number of data mining analyses that can help us dig into our datasets and find hidden information, which is extremely important in order for us to understand our business and make the right decisions.
In the next chapter, we will study a special kind of dataset in detail: time series. We will see that it needs a different kind of modeling and analysis.