This document outlines a project focused on creating an e-commerce sales dashboard using Microsoft Power BI, aimed at enhancing data visualization and analytics for better sales decision-making. It highlights the significance of real-time data analysis and the integration of various data sources to provide comprehensive insights into sales trends. The project's methodologies include data collection, cleaning, dashboard design, integration, visualization, and deployment to improve the efficiency of sales data analysis.

1. Synopsis
of
Minor Project
on
E-commerce Sales Dashboard using Microsoft Power BI
ABSTRACT
• An E-commerce sales dashboard using Microsoft Power BI provides comprehensive
insights into sales data by leveraging the advanced data visualization and analytics
capabilities of Power BI. This project focuses on creating an interactive dashboard to
monitor key sales metrics, track performance trends, and facilitate data-driven decision-
making. (Brunson, 2015) It aims to improve the efficiency of sales analysis by
presenting data in a visually appealing and easily interpretable format. By integrating
various data sources, the dashboard offers real-time updates and customizable views to
meet diverse business needs. Key features include sales volume analysis, revenue
tracking, customer segmentation, and product performance evaluation.
KEYWORDS:
E-commerce, Sales Dashboard, Microsoft Power BI, Data Visualization, Analytics, Real-time
Updates, Business Intelligence.
INTRODUCTION
E-commerce has transformed the retail landscape, enabling businesses to reach a global
audience and operate 24/7. With the surge in online transactions, the need for efficient sales
data analysis has become paramount. Traditional methods of data analysis often fall short in
handling the vast and complex datasets generated by e-commerce platforms. Microsoft Power
BI, a robust business intelligence tool, offers a solution by providing powerful data
visualization and analytics capabilities. This project explores the development of an e-
commerce sales dashboard using Power BI to enhance data interpretation and support strategic
decision-making.
Recent studies highlight the importance of real-time data analytics in e-commerce. According
to (Alberto Ferrari, 2017; Adamala, 2011), businesses leveraging real-time data insights
experience a 50% increase in operational efficiency. Furthermore, (Greg Deckler (Author),

2. 2021) emphasizes the role of interactive dashboards in identifying sales trends and customer
preferences, which are crucial for maintaining competitive advantage.
LITERATURE STUDY
The concept of business intelligence and its application in e-commerce is well-documented in
the literature. (Walker, 2014) discusses the evolution of BI tools and their impact on sales
analytics. The study by (Seamark, 2018) focuses on the integration of data visualization
techniques to enhance user understanding and engagement. Another research by (Miller, 2017)
illustrates the benefits of using Power BI for dynamic data reporting and its scalability for
businesses of varying sizes.
Moreover, (Greg Deckler (Author), 2021) investigates the challenges faced by e-commerce
businesses in data management and how BI tools like Power BI address these issues. The
literature consistently supports the notion that advanced analytics and visualization tools are
essential for processing large datasets and deriving actionable insights.
OBJECTIVE
The primary objective of this project is to design and implement an e-commerce sales
dashboard using Microsoft Power BI that provides real-time, interactive visualizations of sales
data. This dashboard aims to:
1. Enhance the understanding of sales trends and patterns.
2. Improve the accuracy of sales forecasting.
3. Facilitate data-driven decision-making.
4. Provide customizable views for different business needs.
5. Integrate various data sources for comprehensive analysis.
PROBLEM STATEMENT
E-commerce businesses generate vast amounts of sales data daily. Traditional data analysis
methods are often inadequate in handling this volume and complexity, leading to delayed and
less accurate insights. There is a need for a sophisticated tool that can provide real-time,
interactive, and customizable analysis to support strategic decision-making in e-commerce.
METHODOLOGIES

3. The project will follow these methodologies: (Adamala, 2011)
1. Data Collection: Aggregating sales data from various e-commerce platforms and databases.
2. Data Cleaning and Preparation: Ensuring data accuracy and consistency.
3. Dashboard Design: Creating an intuitive and user-friendly interface using Power BI.
4. Data Integration: Combining data from multiple sources for comprehensive analysis.
5. Visualization: Developing visual representations of key sales metrics and trends.
6. Testing and Deployment: Ensuring the dashboard's functionality and accessibility.
CONCLUSION
The development of an e-commerce sales dashboard using Microsoft Power BI will
significantly enhance the ability of businesses to analyze and interpret sales data. By providing
real-time insights and interactive visualizations, the dashboard will support data-driven
decision-making, improve sales performance, and contribute to overall business growth.
REFERENCES
• [Online]. - https://www.thesunflowerlab.com/power-bi-ecommerce-
dashboard/#:~:text=A%20Power%20BI%20ecommerce%20dashboard%20is%20a%2
0visual%20representation%20of,customer%20demographics%2C%20and%20website
%20traffic..
• Adamala S.& Cidrin,L. Key success factors in business intlligence, [Book]. - [s.l.] :
Journal of intelligence studies in business, 2011.
• Alberto Ferrari Marco Russo Analyzing Data with Power BI and Power Pivot for
Excel (Business Skills) [Book]. - [s.l.] : Microsoft Press, 2017.
• Arnold Jeremey Learning Microsoft Power Bi: Transforming Data Into Insights
[Book]. - [s.l.] : O'Reilly Media, 2022.
• Brunson Russell DotCom Secrets: The Underground Playbook for Growing Your
Company [Book]. - [s.l.] : Morgan James Publishing llc, 2015.
• Greg Deckler (Author) Brett Powell Microsoft Power BI Cookbook - Second
Edition: Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases
[Book]. - [s.l.] : Packt Publishing, 2021.

4. • Krug Steve Don't Make Me Think, Revisited: A Common Sense Approach to Web
Usability (Voices That Matter) [Book]. - [s.l.] : New Riders, 2014.
• Miller Donald B uilding a StoryBrand [Book]. - [s.l.] : HarperCollins Leadership,
2017.
• Seamark Philips Beginning DAX with Power BI: The SQL Pro’s Guide to Better
Business Intelligence [Book]. - [s.l.] : APress, 2018.
• Walker Jeff Launch: An Internet Millionaire's Secret Formula To Sell Almost
Anything Online, Build A Business You Love, And Live The Life Of Your Dreams
[Book]. - [s.l.] : Morgan James Publishing llc, 2014.
Group
Krishna Mohanty
2101287292(roll no -2104064)
Swayam Sipra Shaoo
2101287389(roll no -2105059)
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