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Sales & inventory data for a fictitious chain of toy stores in Mexico called Maven Toys, including information about products, stores, daily transactions, and current inventory levels at each location.

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1- Dashboard :


2- About the Dataset :

Sales & inventory data for a fictitious chain of toy stores in Mexico called Maven Toys, including information about products, stores, daily transactions, and current inventory levels at each location.


3- Tables Description :

Products Table:

Field Description
Product_ID Product ID
Product_Name Product name
Product_Category Product Category
Product_Cost Product cost ($USD)
Product_Price Product retail price ($USD)

Inventory Table:

Field Description
Store_ID Store ID
Product_ID Product ID
Stock_On_Hand Stock quantity of the product in the store (inventory)

Stores Table:

Field Description
Store_ID Store ID
Store_Name Store name
Store_City City in Mexico where the store is located
Store_Location Location in the city where the store is located
Store_Open_Date Date when the store was opened

Sales Table:

Field Description
Sale_ID Sale ID
Date Date of the transaction
Store_ID Store ID
Product_ID Product ID
Units Units sold

Calendar Table:

Field Description
Calendar Date

4- Database Digrams

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5- In Mind Questions :

  • Project Objective :

    • Connect to SQL Server and Check Tables.
    • Create a relational model.
    • Add calculated measures & fields
    • Build an interactive report
  • Business Questions :

    📌1️⃣ Which product categories drive the biggest profits? Is this the same across store locations?

    • Total profit among the five product categories was observed in Toys, reaching $1,079,527. This figure was 113.46% higher than the lowest total profit, which was in the Sports & Outdoors category at $505,718.

    • Toys accounted for a significant portion of the total profit, contributing to 26.89% of the overall profits across all five product categories.

    • Total profits across the entire set of product categories ranged from $505,718 to $1,079,527. This indicates a considerable variation in profitability across the different product categories.

    • 🛑 profit percentage varies from one location to another:

      • ➡️ In Residential

        • Toys recorded the highest total profit at $136,214, demonstrating a 125.68% increase compared to the lowest total profit in Sports & Outdoors, which was $60,358.

        • Toys contributed significantly to the overall profitability, representing 29.59% of the total profit across all five product categories.

        • Total profit across the five product categories varied, ranging from $60,358 to $136,214, showcasing distinct levels of profitability within the product portfolio.

      • ➡️ In Downtown

        • Toys led with the highest total profit at $630,029, marking a 114.68% increase compared to the lowest total profit in Sports & Outdoors, which amounted to $293,468.

        • Toys significantly contributed to the overall profitability, accounting for 28.02% of the total profit across all five product categories.

        • Total profit across the five product categories showed variation, ranging from $293,468 to $630,029, illustrating diverse levels of profitability within the product portfolio.

      • ➡️ In Commercial

        • Electronics led with the highest total profit at $287,574, demonstrating a 155.62% increase compared to the lowest total profit in Sports & Outdoors, which amounted to $112,499.

        • Electronics made a substantial contribution to the overall profitability, representing 31.03% of the total profit across all five product categories.

        • Total profit across the five product categories displayed variation, ranging from $112,499 to $287,574, highlighting diverse levels of profitability within the product portfolio.

      • ➡️ In Airport

        • Electronics led with the highest total profit at $108,197, showing a substantial 174.66% increase compared to the lowest total profit in Sports & Outdoors, which amounted to $39,393.

        • Electronics contributed significantly to the overall profitability, representing 28.62% of the total profit across all five product categories.

        • Total profit across the five product categories varied, ranging from $39,393 to $108,197, indicating diverse levels of profitability within the product portfolio.

    📌2️⃣ Can you find any seasonal trends or patterns in the sales data?

    • ➡️ In Sprint

      • Total orders for Toys reached 58,806, making it the product category with the highest demand.
      • This was 93.35% higher than Electronics, which had the lowest total orders at 30,414.
      • Toys accounted for a significant portion, representing 26.46% of the total orders.
      • Across all five product categories, the total orders varied, ranging from 30,414 to 58,806.
    • ➡️ In Summer

      • Toys had the highest total orders, reaching 72,085.
      • This total was 162.58% higher than Electronics, which had the lowest total orders at 27,453
      • Toys accounted for 28.48% of the total orders, indicating a significant share of overall demand.
      • Across all five product categories, the total orders ranged from 27,453 to 72,085, highlighting the variability in demand across different product types.
    • ➡️ In Autumn

      • Art & Crafts had the highest total orders, reaching 64,157.
      • This total was 138.05% higher than Electronics, which had the lowest total orders of 26,951.
      • Art & Crafts accounted for 27.88% of the total orders, indicating a substantial share of overall demand.
      • Across all five product categories, the total orders ranged from 26,951 to 64,157, showcasing the variability in demand across different product types.
    • ➡️ In Winter

      • Art & Crafts had the highest total orders, amounting to 35,559.
      • This total was 150.29% higher than Electronics, which had the lowest total orders at 14,207.
      • Art & Crafts accounted for 28.73% of the total orders, indicating a significant proportion of overall demand.
      • Across all five product categories, the total orders ranged from 14,207 to 35,559, demonstrating the variability in demand across different product types.

Project Link in Maven : Mexico Toy Sales

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Sales & inventory data for a fictitious chain of toy stores in Mexico called Maven Toys, including information about products, stores, daily transactions, and current inventory levels at each location.

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