Adventure_Work

A Microsoft Power BI business intelligence dashboard for AdventureWorks, a fictional global manufacturing company that produces cycling equipment and accessories.

This data was derived from the AdventureWorks sample databases available from Microsoft.

The customer base is spread across 6 countries on 3 continents: Australia, Canada, France, Germany, United Kingdom and United States. Sales and return data is available for the period between 01/01/2020 and 30/06/2022. Customer profiles include date of birth, annual income, education level, number of children, occupation and homeowner status.

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Features

  • Track key performance indicators (KPIs) related to sales, revenue, profit, and returns.
  • Compare performance across different regions.
  • Analyse product-level trends.
  • Identify high-value customers.

Project Highlights

This project involved the following tasks:

  • connecting and transforming the raw data
  • building a relational data model
  • creating calculated columns and measures using DAX
  • Created a rolling calendar using PowerQuery M code
  • building an interactive dashboard

Dashboard Elements

Executive Summary View

  • high-level KPIs for revenue, profit, orders and return rates
  • page-level filtering by product and product category
  • drill-through per product to product detail view

Map View

  • total orders per country

Product Detail View

  • per-product performance against order, revenue and profit targets
  • "what if" analysis via price adjustment shows adjusted profit

Customer Detail View

  • total customer and per-customer revenue analysis

Custom UI Elements

  • filter pane for filtering by year and geography
  • custom tooltip for product category order metrics

Insights

  • Approximately $24.9 million in revenue and $10.5 million in profit was generated between 01/01/2020 and 30/06/2022. There is an appreciable dip in revenue between 01/06/2020 and 01/11/2020 (possibly due to the simulated impact of the COVID-19 pandemic), after which revenue appears to grow linearly. December 2021 was an exceptional year in terms of revenue at $1.64 million, and it would be worth investigated the cause of this. Was this due to a highly successful seasonal campaign, e.g. a Black Friday promotion?

  • Understandably, tires and tubes are the most ordered product type, while cycling shorts are the most returned product type. After mountain bike fenders, sports helmets top the list of revenue-generating products, despite having relatively high return rates:

Screenshot (16)

  • The most profitable product categories are clothing and accessories.

  • There is a step change (on the order of 200 customers per week) in total weekly customers beginning 02/08/2021.

Screenshot (17)

  • However, revenue per customer has been declining year-on-year:

Screenshot (18)

  • While the United States is the largest market with 8,700 orders and $7.94 million in total revenue, The Australian market has the largest revenue per customer at $2,131.