The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
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Updated
Aug 17, 2024
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
This bi dashboard will help the AtliQ technologies to analyse the sales of their electronic devices in different countries and make insightful decision to grow their revenue and recognize the area where the performance is not up-to-the-mark.
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
Interactive dashboard in Tableau analyzing UK(DfT) road accident data (2016-2020) with advanced features like filters, parameters, and calculated fields to reveal accident trends & support research & policy-making. Preprocessed data in Excel to ensure accuracy.
A comprehensive analysis of sales and customer feedback data at Cafe Harmony, leveraging a master sample of 608 entries. Using advanced analytics and Excel visualizations, I uncovered insights into sales trends, stock management, product satisfaction, and consumption patterns—empowering strategic decisions to elevate the overall customer experience
Road Accident Analysis using Excel
This repository contains the Regional Sales Analysis Dashboard project, developed as part of a Tableau course-end project. The dashboard provides a dynamic and interactive tool to compare the sales performance of two selected regions side by side, empowering management with actionable insights for strategic decision-making.
The Sales Dashboard 2023 project leverages Power BI to analyze and visualize sales data, offering insights into monthly performance, weekday vs. weekend trends, and event-related sales impacts. This dashboard aims to enhance decision-making by highlighting key sales patterns across different categories, channels, and regions.
Discover the Vrinda Store Annual Report Project, where we analyze sales data to reveal actionable insights for business growth. This Excel-based dashboard offers a complete overview of customer, regional performance, and sales channels, etc. Dive into data-driven decision-making and Dive into data-driven decision-making and strategic planning.
This analytics Excel dashboard provides a comprehensive overview of Liverpool's forward players' performance across all competitions in the 2024/2025 season. Key metrics include total goals, assists, big chances created/missed, shooting accuracy, dribbling efficiency, and player availability due to injuries.
The primary objective of this project is to develop a comprehensive and visually appealing Power BI dashboard that analyzes the medicine sales data for the entire year of 2023 and 2022.
Advanced Excel dashboard designed to analyze product category performance and provide interactive insights into monthly sales trends. Uses tools like regression analysis and combo boxes to enhance decision-making with key metrics on sales and profit.
This project is done as part of Codebasics Data Analyst Bootcamp
This Power BI project provides a comprehensive analysis of sales and profit data, aiming to offer actionable insights for business decision-making. The dashboard includes key performance indicators (KPIs) such as total sales, total profit, total quantity sold, and average delivery days. It also presents the sum of sales by category and sub-category
Tableau dashboard analyzing FIFA 23 players data
Analyzing India's pre-owned cars market using SQL and Power BI
I analyzed 🏦 bank loan data to reveal trends, KPIs, and insights. Using Tableau 📈 for dashboards and SQL 🗃️ for data extraction, I visualized loan applications, borrower profiles, and repayment behaviors 💡.
Food Sales Analysis using Tableau and created Dashboard, Stories
Power BI dashboard project showing sales trends, top-selling products, and customer buying patterns from coffee shop data.
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