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https://github.com/samjoesilvano/adventureworks_sales_performance_dashboard
Createed an interactive 4-page dashboard for AdventureWorks that visualizes key sales metrics—including revenue, profit, orders, and return rates—across 2020 to 2022. Featuring dynamic geographic analysis and detailed customer insights, this dashboard empowers data-driven decision-making and enhances business performance.
https://github.com/samjoesilvano/adventureworks_sales_performance_dashboard
business-intelligence data-analysis-python data-analytics data-driven-decisions data-modeling data-visualization geographic-analysis interactive-dashboards kpi-metrics powerbi sales-performance-analysis
Last synced: about 1 month ago
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Createed an interactive 4-page dashboard for AdventureWorks that visualizes key sales metrics—including revenue, profit, orders, and return rates—across 2020 to 2022. Featuring dynamic geographic analysis and detailed customer insights, this dashboard empowers data-driven decision-making and enhances business performance.
- Host: GitHub
- URL: https://github.com/samjoesilvano/adventureworks_sales_performance_dashboard
- Owner: SamJoeSilvano
- License: gpl-3.0
- Created: 2024-09-25T14:24:00.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-13T12:53:59.000Z (about 2 months ago)
- Last Synced: 2024-11-13T13:49:21.894Z (about 2 months ago)
- Topics: business-intelligence, data-analysis-python, data-analytics, data-driven-decisions, data-modeling, data-visualization, geographic-analysis, interactive-dashboards, kpi-metrics, powerbi, sales-performance-analysis
- Homepage:
- Size: 5.45 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.txt
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README
# AdventureWorks Sales Performance Dashboard
## Overview
This Power BI dashboard was developed to provide a comprehensive view of **AdventureWorks** sales performance from **2020 to 2022**. It offers insights into the company's key metrics such as **Revenue**, **Profit**, **Orders**, and **Return Rate**, empowering users with actionable data to drive business decisions. The interactive design allows users to drill down into specific data points, gaining a deeper understanding of customer behavior, regional performance, and product popularity.
## Dashboard
### 1. **Executive Dashboard**
![Exec Dashboard](https://github.com/user-attachments/assets/f697333c-bde7-4c95-9dac-ef88b52fb91f)### 2. **Continent Map View of Sales**
![Map_View_Continents](https://github.com/user-attachments/assets/0dd57548-2e2b-4df6-b1cd-c5f5b67ead8f)### 3. **Country Map View of Sales**
![Map_View_Country](https://github.com/user-attachments/assets/2a311a93-0054-4c3e-862b-c33ef135ae46)### 4. **Customer Dashboard**
![Customer Detail](https://github.com/user-attachments/assets/566c4c6e-e7eb-4e10-ae40-9f63af523b99)### 5. **Product Dashboard**
![Product_Detail](https://github.com/user-attachments/assets/f7c98b88-5c53-44db-b4fe-07a6a8da584b)## Features
### 1. **Sales Metrics Overview**
- The dashboard presents four core metrics—**Revenue**, **Profit**, **Orders**, and **Return Rate**—giving users a snapshot of overall sales performance.
- Each metric is visualized using **KPI Cards** to provide a quick, at-a-glance understanding of how the business is performing over time.### 2. **Top Customer Insights**
- The dashboard identifies and highlights the **Top Customer** based on sales volume.
- Displays key information about the customer:
- Total **Orders**
- **Revenue** generated
- **Location** details
- This feature helps the sales team recognize key clients and track their purchasing behavior, offering a potential avenue for targeted marketing and relationship-building.### 3. **Most Ordered and Returned Products**
- The dashboard showcases:
- **Most Ordered Product Types** to indicate popular items driving sales.
- **Most Returned Product Types**, giving insight into product quality or customer dissatisfaction.- By analyzing these trends, businesses can make informed decisions on product stocking, inventory management, and customer service improvements.
### 4. **Dynamic Geographic Sales Analysis**
- **Interactive Map View** that allows users to see total orders at a continental level.
- Users can click on a continent (e.g., Europe) to drill down into sales performance by country.
- This feature enhances geographic analysis, allowing regional managers to assess market penetration and performance.### 5. **Time-Based Performance Analysis**
- Users can filter data by **Year** (2020 to 2022), enabling year-over-year comparison of sales performance.
- The dashboard also supports **month-level filtering** for more granular time analysis, aiding in identifying trends or seasonal peaks and troughs in sales.## Data Sources
The dashboard leverages sales data from **AdventureWorks** between **2020 and 2022**. This includes:
- **Order Data**: Contains information on orders made during this period.
- **Product Data**: Provides details on product categories, returns, and order volume.
- **Geographic Data**: Sales information linked to customer locations, helping with regional analysis.## Interactive Visuals
The dashboard includes the following visual elements to enhance data exploration and analysis:
- **KPI Cards**: Display real-time values of key metrics such as Revenue, Profit, Orders, and Return Rate.
- **Bar and Line Charts**: These provide a comparative analysis of sales metrics over time, making it easy to track trends and performance shifts.- **Geographic Heat Map**: Allows users to see sales volume per continent and country. Clicking on a region dynamically filters the dashboard to show detailed sales insights for the selected area.
- **Pie Charts**: Used to display the breakdown of product types, highlighting both the most ordered and returned products.
## User Interactions
### Drill-Down and Filter Capabilities
- **Drill-down** functionality is available for most charts and graphs, allowing users to move from a high-level view (e.g., continent) to more detailed data (e.g., country-specific sales).
- **Filters**: The dashboard provides interactive filters for year and product type, giving users flexibility in how they analyze the data.- **Hover Insights**: Hovering over visuals shows detailed tooltips with additional data points, offering quick information without overwhelming the view.
## Technology Stack
- **Power BI**: The primary platform for data visualization and dashboard creation.
- **Data Modeling**: Managed within Power BI to establish relationships between different data tables and ensure seamless filtering.
- **Power Query**: Utilized for data cleaning and transformation.## Benefits
This dashboard serves several critical purposes for **AdventureWorks**:
- **Enhanced Decision-Making**: With clear visuals and interactive components, the dashboard empowers management to make data-driven decisions.
- **Customer and Product Insights**: Detailed information on top customers and product performance helps in refining marketing strategies and improving product offerings.
- **Geographic Performance Analysis**: The map view helps assess the success of different regions, aiding in regional strategy development.- **Time-Based Trend Analysis**: Historical data filtering supports understanding of sales trends and forecasting future performance.
## How to Use
1. **Filter the Time Period**: Select the desired year or month to view sales performance for that time.
2. **Examine Key Metrics**: Start with the KPI cards to get an overview of how revenue, profit, orders, and return rates are performing.3. **Explore Top Customer & Product Data**: Click through the Top Customer and Product visualizations to dive into detailed customer behavior and product success metrics.
4. **Geographic Insights**: Use the map view to explore sales across different regions and countries.
5. **Drill Down for Detail**: Use the drill-down feature to gain deeper insights into specific areas of interest.
## Future Enhancements
- **Predictive Analysis**: Incorporating machine learning models to forecast future sales performance based on historical data.
- **Automated Alerts**: Setting up automated email alerts or notifications for key changes in metrics (e.g., sudden drops in profit or spikes in returns).
- **Customer Segmentation**: Adding a segmentation analysis to categorize customers based on their purchasing behavior and profitability.
## Conclusion
The AdventureWorks Sales Performance Dashboard is an essential tool for gaining actionable insights into the company’s sales data. It equips decision-makers with the power to monitor business health, spot trends, and make informed decisions based on real-time data.
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