Skip to content

About

Pricing & Financial Performance analysis using Python, SQL and Tableau

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Latest commit

 

History

1 Commit

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

📊 Pricing & Financial Performance Analytics Dashboard

🚀 Project Summary

This project delivers an executive-level pricing and financial performance dashboard built to analyze revenue, profit, margins, categories, regions, and product-level profitability. It is designed as a single-page decision dashboard that allows stakeholders to instantly identify growth drivers, profit concentration, and optimization opportunities.

The project follows a full analytics lifecycle — from data preparation to SQL validation and Tableau-based storytelling.

🖼️ Dashboard Snapshot

Pricing & Financial Performance Dashboard

Single-page Tableau dashboard presenting KPIs, trends, category & regional performance, and top profit-generating products.

🎯 Business Goals

Understand overall sales and profit performance

Track monthly revenue and profit trends

Identify high- and low-performing product categories

Compare regional contribution to sales and profit

Highlight top products driving profitability

Support pricing strategy and portfolio decisions

📁 Dataset Overview

Domain: Pricing & Financial Transactions

Granularity: Order-level data

Records: ~9,800 rows after cleaning

Key Attributes:

Order Date

Product Name

Category & Sub-Category

Region

Sales

Cost

Profit

Profit Margin (%)

🛠️ Tools & Workflow

🐍 Python

Data cleaning and preprocessing

Handling missing and inconsistent values

Profit and margin calculations

Feature preparation for SQL & Tableau

Exporting clean datasets for visualization

🗄️ SQL (SQLite)

Data validation checks

Aggregations for sales, profit, and margins

Category, region, and product-level analysis

Ensuring metric consistency before visualization

📊 Tableau Public

KPI card creation and formatting

Monthly trend analysis (Sales & Profit)

Comparative bar charts (Category & Region)

Top-N product profitability analysis

Custom dashboard background & layout

Executive-style storytelling in a single view

📐 Core KPIs

Total Sales

Total Profit

Average Profit Margin (%)

Monthly Sales Trend

Monthly Profit Trend

Category-wise Sales & Profit

Region-wise Sales & Profit

Top 5 Products by Profit

🔍 Key Insights & Findings

The business maintains a healthy average profit margin (~30%)

Sales and profit show clear seasonal patterns

Technology category is the strongest revenue and profit contributor

West and East regions outperform other regions consistently

A small subset of products contributes a disproportionate share of total profit

Profitability varies widely across categories, indicating pricing optimization potential

🎛️ Dashboard Capabilities

One-page executive dashboard (Power BI–style layout)

KPI-focused design for quick decision-making

Trend comparison using dual-line charts

Category and region performance benchmarking

Product-level profit visibility

Clean, professional UI with custom background

📁 Project Structure

Project-3_Pricing-Financial-Analytics/ ├── data/ │ ├── raw/ │ └── processed/ ├── python/ │ └── pricing_financial_analysis.ipynb ├── sql/ │ └── pricing_analysis.db ├── tableau/ │ └── Pricing_Financial_Performance_Dashboard.twbx ├── images/ │ └── Dashboard.png └── README.md

📈 Business Impact

This dashboard empowers stakeholders to:

Monitor financial performance at a glance

Identify revenue and profit concentration areas

Support pricing and category strategy

Focus on high-impact products and regions

Communicate insights clearly to leadership

About

Pricing & Financial Performance analysis using Python, SQL and Tableau

Topics

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages