It has store sales, store costs and profits as values that can be reported on. The unit sales are also recorded along with a sales count.
Below are some example questions:
The company sells in 3 countries (USA, Canada & Mexico); within each country you have states and citys and then one or more stores.
The stores are named 'Store' and a number eg 'Store 1'. The stores themselves have useful information such as who mananges it, its overall size and type.
The products that the stores sell are grouped into a family (such as Drink, Food etc), then these are broken down into departments, categories, subcategories, brand names then the product itself.
The table shows an example:
Level | Example | |
---|---|---|
Family | Drink | |
Department | Alcoholic Beverages | |
Category | Beer & Wine | |
Subcategory | Beer | |
Brand name | Portsmouth | |
Product Name | Portsmouth Light Beer |
Example questions:
The customers who buy the products from the stores are also associated with a country, state & city. Their gender, marital status are recorded along with their annual income and age.
Date/Time in this dataset relates to when a sale was made and you can ask questions at the following levels - Year, Quarter, Month, Week and Day
You can also use relative dates such as this, last, today etc.