IJCOPE Journal

UGC Logo DOI / ISO Logo

International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
Journal Information
ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 6

Published on: June 2026

A MEDALLION ARCHITECTURE-BASED SALES DATA ANALYSIS DASHBOARD USING DATABRICKS

Pradeep Patra

Smruti Ranjan Swain

Department of Master of Computer Applications

GIFT Autonomous, Bhubaneswar, Odisha, India
DOI:https://doi.org/10.55041/ijcope.v2i6.086

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Download PDF Review Report

Abstract

The Sales Data Analysis Dashboard is designed to provide organizations with a comprehensive view of sales performance by transforming raw transactional data into meaningful business insights. In today’s competitive environment, companies depend on data-driven decision-making to improve operational efficiency and increase revenue growth. This project focuses on collecting, processing, and visualizing sales data using analytical techniques and interactive dashboards. The system integrates multiple datasets including sales transactions, product details, customer information, and regional sales records. Key performance indicators such as total revenue, monthly sales growth, top-performing products, and customer purchasing trends are analyzed and displayed through visual reports. The dashboard enables users to filter data based on product categories, regions, and time periods for better analysis. The developed system helps organizations identify market trends, monitor sales performance, optimize inventory planning, and support strategic business decisions. This project demonstrates the practical application of business intelligence and modern data analytics technologies for organizational growth.

Keywords—Sales Data Analysis, Business Intelligence, Data Visualization, Interactive Dashboard, Data Analytics, Sales Performance, Revenue Analysis, KPI Monitoring, Customer Insights, Decision Support System.

How to Cite this Paper

Patra, P. (2026). A Medallion Architecture-Based Sales Data Analysis Dashboard Using Databricks. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.086

Patra, Pradeep. "A Medallion Architecture-Based Sales Data Analysis Dashboard Using Databricks." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.086.

Patra, Pradeep. "A Medallion Architecture-Based Sales Data Analysis Dashboard Using Databricks." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.086.

Search & Index

Google Scholar Crossref DOI ResearchGate

References


  1. entity["company","Apache Software Foundation","Apache Spark framework"] Apache Spark Documentation, “Apache Spark Unified Analytics Engine for Big Data Processing,” Apache Software Foundation, 2024.


 

  1. entity["company","Databricks","Lakehouse platform company"] Databricks Documentation, “Databricks Lakehouse Platform for Data Engineering and Analytics,” Databricks Inc., 2024.


 

  1. entity["company","Amazon","Amazon Web Services"] Amazon Web Services, “Cloud Computing Services for Big Data Analytics,” AWS Documentation, 2024.


 

  1. entity["company","Microsoft","Microsoft Azure"] Microsoft Azure Documentation, “Cloud-Based Data Analytics and Business Intelligence Services,” Microsoft Corporation, 2024.


 

  1. entity["company","Google","Google Cloud Platform"] Google Cloud Documentation, “Big Data and Machine Learning Solutions,” Google LLC, 2024.


 

  1. Han, J., Pei, J., and Kamber, M., *Data Mining: Concepts and Techniques*, 4th Edition, Morgan Kaufmann Publishers, 2022.


 

  1. Silberschatz, A., Korth, H. F., and Sudarshan, S., *Database System Concepts*, 7th Edition, McGraw-Hill Education, 2019.


 

  1. Kimball, R., and Ross, M., *The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling*, 3rd Edition, Wiley Publications, 2013.

Ethical Compliance & Review Process

  • •All submissions are screened under plagiarism detection.
  • •Review follows editorial policy.
  • •Authors retain copyright.
  • •Peer Review Type: Double-Blind Peer Review
  • •Published on: Jun 06 2026
CCBYNC

This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

View License
Back to Volume 02, Issue 6View All Issues Next Article

← Previous Article

A Medallion Architecture-Based Healthcare Patient Analytics Dashboard Using Databricks

Next Article →

A Smart Orphanage Management System and Support App Powered by AI
Scroll to Top