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Zurain Khan
Zurain Khan

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Building a Sales Dashboard in Power BI: A 2019 Sales Analysis

📊 Data dashboards are more than just charts—they’re tools for insight and decision-making.

In this project, I built a Power BI sales dashboard along with a detailed analytical report to explore sales performance for 2019. The goal was to transform raw sales data into a clear, actionable dashboard that allows stakeholders to quickly understand trends, performance drivers, and opportunities.

Project Overview

The dataset included:

Product names

Order quantities

Sales revenue

Order dates

Customer cities

Using Power BI, I designed an interactive dashboard supported by a structured report to analyze performance across products, cities, and time.

Dashboard Structure

  1. KPI Summary

Key performance indicators at the top provide an instant overview:

Total revenue

Total orders

Number of products

Number of cities

  1. Sales by City

A horizontal bar chart shows revenue per city, helping identify high-performing markets and growth opportunities.

  1. Monthly Sales Trends

Monthly trend charts highlight seasonal patterns, peak months, and low-performing periods, supporting forecasting and planning.

  1. Product Performance

Revenue by product is displayed with bar charts to identify top performers and low-revenue items, informing pricing and promotion strategies.

  1. Distribution Insights

Donut and pie charts show revenue share by city and product, making it easy for stakeholders to grasp proportional contributions.

Report & Business Context

The dashboard is complemented by a report that:

Explains observed patterns

Interprets trends from a business perspective

Highlights opportunities for optimization and improvement

Tools & Skills Used

Power BI for visualization & data modeling

DAX for calculated measures

Data cleaning & transformation

Dashboard design principles

Data storytelling

Conclusion

This project demonstrates how raw sales data can become a business-ready dashboard. By focusing on clarity, structure, and storytelling, stakeholders can move from data to actionable insights—turning numbers into decisions.

Great data analysis isn’t just about charts it’s about telling a story that drives results. 🚀

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