Crandi

Aero Sales Analysis Dashboard Readme Md At Main Github

Leo Migdal
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aero sales analysis dashboard readme md at main github

There was an error while loading. Please reload this page. This is an interactive and automated Sales Dashboard built using Microsoft Excel and VBA macros. It helps organizations monitor the performance of sales executives over a 5-day sales cycle, track regional activity, and evaluate progress toward sales targets with visual insights. The dashboard sources its data from a structured raw data sheet and presents key metrics in a clean, interactive format. This Excel-based analysis explores Aero’s 2014 sales performance, uncovering revenue patterns, regional strengths, and top-performing sales representatives.

Using PivotTables, charts, and advanced formulas, the project transforms raw transactional data into meaningful business insights that reveal hidden growth opportunities. This project presents a detailed analysis of Aero’s 2019 sales performance using Microsoft Excel. The goal is to uncover key revenue drivers, customer behavior trends, and regional strengths while identifying actionable strategies for future growth. By translating transactional records into a visual dashboard, the analysis offers insight into Aero’s sales distribution, product performance, and payment dynamics across multiple dimensions such as region, customer type, and salesperson efficiency. The dataset represents Aero’s complete 2019 commercial records, including regional sales, customer segmentation, payment methods, and product categories. Each transaction provides measurable indicators of Aero’s operational success and market reach.

Data Structure: Each row represents an individual sales transaction, with key columns capturing region, sales representative, payment method, customer type, product category, and transaction amount (in GBP). There was an error while loading. Please reload this page. Analyzing flight operations, bookings, and revenue trends to optimize routes, track cancellations, and understand customer behavior across years through an interactive Power BI dashboard. Built using SQL, Python, and Power BI. AeroVision Airlines, a mid-sized airline carrier, wanted to analyze its flight operations, bookings, and revenue trends across multiple years.

The objective was to understand sales performance, optimize routes, track cancellations, and identify customer behavior patterns through a unified Power BI dashboard. Lack of Centralized Performance Tracking 👉 Click here to explore the interactive Power BI Dashboard 👨‍💻 Chirag Sharma – Data Analyst 📧 Email: Chiragsharma@gmail.com 🔗 LinkedIn 🔗 Portfolio There was an error while loading. Please reload this page.

This project provides a full analysis of Amazon sales data and an interactive dashboard to visualize key insights. The dashboard covers 5 key aspects of sales analytics and can be used to explore sales trends, top products, customer segmentation, fulfillment, and geographical analysis. This project analyzes Amazon sales data stored in MongoDB Atlas and presents insights using an interactive Python dashboard. The dashboard allows users to interactively filter data, view charts, and download visualizations. amazon-dashboard/ │ ├─ analysis.py # Backend data processing and aggregation ├─ dashboard.py # Frontend interactive dashboard using Plotly Dash ├─ requirements.txt # Python dependencies ├─ README.md # Project documentation └─ data/ # Optional #CSV/Excel... *** 3.

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There Was An Error While Loading. Please Reload This Page.

There was an error while loading. Please reload this page. This is an interactive and automated Sales Dashboard built using Microsoft Excel and VBA macros. It helps organizations monitor the performance of sales executives over a 5-day sales cycle, track regional activity, and evaluate progress toward sales targets with visual insights. The dashboard sources its data from a structured raw data she...

Using PivotTables, Charts, And Advanced Formulas, The Project Transforms Raw

Using PivotTables, charts, and advanced formulas, the project transforms raw transactional data into meaningful business insights that reveal hidden growth opportunities. This project presents a detailed analysis of Aero’s 2019 sales performance using Microsoft Excel. The goal is to uncover key revenue drivers, customer behavior trends, and regional strengths while identifying actionable strategie...

Data Structure: Each Row Represents An Individual Sales Transaction, With

Data Structure: Each row represents an individual sales transaction, with key columns capturing region, sales representative, payment method, customer type, product category, and transaction amount (in GBP). There was an error while loading. Please reload this page. Analyzing flight operations, bookings, and revenue trends to optimize routes, track cancellations, and understand customer behavior a...

The Objective Was To Understand Sales Performance, Optimize Routes, Track

The objective was to understand sales performance, optimize routes, track cancellations, and identify customer behavior patterns through a unified Power BI dashboard. Lack of Centralized Performance Tracking 👉 Click here to explore the interactive Power BI Dashboard 👨‍💻 Chirag Sharma – Data Analyst 📧 Email: Chiragsharma@gmail.com 🔗 LinkedIn 🔗 Portfolio There was an error while loading. Pleas...

This Project Provides A Full Analysis Of Amazon Sales Data

This project provides a full analysis of Amazon sales data and an interactive dashboard to visualize key insights. The dashboard covers 5 key aspects of sales analytics and can be used to explore sales trends, top products, customer segmentation, fulfillment, and geographical analysis. This project analyzes Amazon sales data stored in MongoDB Atlas and presents insights using an interactive Python...