Imagine you have a lemonade stand. You collect data such as the number of lemonades sold, the amount of stock, the number of visitors to the stand, and if you have enough data, you can start looking for trends. For example, Fridays are very busy at the stand, while on Mondays lemonade doesn't sell well, and on warmer days you need to use twice as much ice as on cooler days. This information will guide you to the right decisions. On Fridays, you can hire a temporary worker to help you serve customers and buy a powerful freezer to prevent the ice from melting. This approach will not only improve the customer's perception of the place, but also lead to higher sales over time.