Mexico Toys Sales

Analyzed Sales & inventory data for a fictitious chain of toy stores in Mexico for patterns in sales and showcased the results in a Power BI dashboard.


Insights

  • During the two years provided 1M units have been sold with a 4M revenue
  • Arts & crafts are the most sold category
  • Downtown stores have the highest sales and are the most common
  • Airport stores are low but still sell 68K
  • September is the highest selling month following it october which is the lowest selling month
  • Downtown stores sell the most units followed by commercial with a very high margin

The Process

The data (link) consists of 6 CSV files as follows:

  • Data Dictionary
  • Sales
  • Products
  • Stores
  • Inventory
  • Calendar

Calculation using M & DAX language

There's a cost and a price for each item, so using M language we made a revenue column for each item
Utilizing Dax Filters and Calculate functions we cross referenced each items revenue and what we got from each sale in the sales table

Measures

For this particular analysis we 5 used measures
  • Oldest Store Opened
  • Newest Store Opened
  • Sum of Units Sold
  • Sum of Revenue
  • Count of Stores

drill through

For the Store locations we utilized drill through to get the top 5 and bottom 5 cities by the count of sales in each city

Bookmarks

The Button that changes the chart from top 5 cities to bottom 5 cities was made by the bookmarks feature