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An Advanced SQL Analytics Project demonstrating end-to-end data analysis using SQL — from EDA and ADA to data transformations and final business reports. Includes two analytical views summarizing Customer and Product performance with insights on revenue, trends, and growth.

pushkarguptaaa/Advanced-SQL-Analytics-Project

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Advanced SQL Analytics Project

📌 Overview

This project demonstrates how SQL can be used as a complete analytics tool — from raw data exploration to advanced analysis and final business reporting.

The workflow covers:

  • EDA (Exploratory Data Analysis)
  • ADA (Advanced Data Analytics)
  • Data transformations
  • Final analytical reports for Customers and Products

📂 Project Structure

  • 📁 datasets/ – Raw datasets used for analysis
  • 📁 sql_scripts/ – SQL scripts for EDA, ADA, and transformations
  • 📁 assets/ – Report screenshots (Customer & Product)
  • 📄 README.md – Project documentation

🔍 Methodology

  1. Exploratory Data Analysis (EDA)

    • Profiled datasets, identified missing values, duplicates, and outliers.
    • Summarized sales distributions, seasonal trends, and customer/product activity.
  2. Advanced Data Analytics (ADA)

    • Implemented window functions (running totals, rankings, moving averages).
    • Created cumulative sales, period-over-period (MoM/YoY) comparisons, and segmentation.
    • Built customer and product performance metrics.
  3. Transformations & Reports

    • Cleaned and standardized data using modular SQL scripts.
    • Built two final SQL views:
      • Customer Report View – customer-level KPIs (revenue, order frequency, trends).
      • Product Report View – product-level KPIs (sales volume, revenue trends, rankings).

📊 Final Reports

🧑‍🤝‍🧑 Customer Report

Customer Report

📦 Product Report

Product Report

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An Advanced SQL Analytics Project demonstrating end-to-end data analysis using SQL — from EDA and ADA to data transformations and final business reports. Includes two analytical views summarizing Customer and Product performance with insights on revenue, trends, and growth.

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