(1) People tend to shop and spend money before making a purchase. (2) People tend to make a purchase before checking out a product at a store. (3) People tend to check out a product just after making a purchase.
(1) People tend to shop and spend money before making a purchase. (2) People tend to make a purchase before checking out a product at a store. (3) People tend to check out a product just after making a purchase.1. People shop before making purchases 2. People tend to check out products after making purchases 3.
(1) People tend to shop and spend money before making a purchase. (2) People tend to make a purchase before checking out a product at a store. (3) People tend to check out a product just after making a purchase.1. People shop before making purchases 2. People tend to check out products after making purchases 3.In the data cube, the first two columns will probably be measures of people who shop before making purchases, and the third will be measures of people who check-out after making purchases. But since there are multiple measures in the data cube, the column names will actually be part of the measure name.
(1) People tend to shop and spend money before making a purchase. (2) People tend to make a purchase before checking out a product at a store. (3) People tend to check out a product just after making a purchase.1. People shop before making purchases 2. People tend to check out products after making purchases 3.In the data cube, the first two columns will probably be measures of people who shop before making purchases, and the third will be measures of people who check-out after making purchases. But since there are multiple measures in the data cube, the column names will actually be part of the measure name.It’s not as simple as some might think. Some people prefer to buy the latest and greatest products, while others prefer the newest and greatest products. The measures in the data cube are based on how a product is perceived by both groups of people.
(1) People tend to shop and spend money before making a purchase. (2) People tend to make a purchase before checking out a product at a store. (3) People tend to check out a product just after making a purchase.1. People shop before making purchases 2. People tend to check out products after making purchases 3.In the data cube, the first two columns will probably be measures of people who shop before making purchases, and the third will be measures of people who check-out after making purchases. But since there are multiple measures in the data cube, the column names will actually be part of the measure name.It’s not as simple as some might think. Some people prefer to buy the latest and greatest products, while others prefer the newest and greatest products. The measures in the data cube are based on how a product is perceived by both groups of people.The main reason that the cube is named after the name of the cube, is so that people can compare the results of their shopping with their buying, and to make sure they don’t compare apples with oranges. With that said, there are other measures in the cube, such as the number of items purchased, the number of items ordered, etc.