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A business intelligence dashboard for the fictional AdventureWorks bike manufacturer, built in Microsoft Power BI.

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AdventureWorks

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

The dataset was supplied with the Maven Analytics Power BI Desktop course. 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.

AdventureWorks Executive Dashboard

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:

  • 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.

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

  • 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.

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A business intelligence dashboard for the fictional AdventureWorks bike manufacturer, built in Microsoft Power BI.

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