SQL analysis of FMCG sales data across West Africa using T-SQL
# fmcg-sql-analysis
SQL analysis of FMCG sales data across West Africa using T-SQL
# FMCG Sales SQL Analysis
## Overview
A comprehensive SQL analysis project on Fast-Moving Consumer Goods (FMCG)
sales data across West Africa, covering multiple countries, brands, regions,
and sales representatives across 2018 and 2019.
## Dataset
- **Database:** FMCG_DB
- **Table:** FMCG
- **Coverage:** West African countries (Anglophone & Francophone)
- **Period:** 2018 β 2019
- **Key Columns:** COUNTRIES, YEARS, MONTHS, BRANDS, REGION,
QUANTITY, PROFIT, SALES_REP
## Tools Used
- Microsoft SQL Server (T-SQL)
- CTEs, Window Functions, Aggregate Functions
## Business Questions Answered
### π Territory & Profit Analysis
- Compared total profit between Anglophone and Francophone territories
over the last 3 years using CTEs and dynamic year filtering
- Calculated each territory's percentage share of total profit
using window functions (SUM OVER())
### π
Time-Based Analysis
- Identified the highest profit year across all records
- Found the lowest performing month by total profit
- Calculated minimum profit recorded in December 2018
- Analyzed monthly profit distribution for 2019 with
percentage contribution per month
### π Country & Brand Performance
- Identified the highest profit country in 2019
- Found the top performing brand in Senegal by total profit
- Ranked brands by quantity sold in Ghana (Top 2)
- Analyzed Nigeria brand performance by year β
quantity and profit breakdown
- Identified top 3 brands by quantity in Francophone
countries (2018β2019)
### π³π¬ Nigeria Deep Dive
- Year-by-year quantity analysis for Nigeria
- Total quantity sold in Nigeria across all years
- Top brand in Nigeria's South region by quantity
- Budweiser regional performance across Nigeria
- Budweiser performance by region in Nigeria for 2019 specifically
- All brands ranked by quantity in Nigeria for 2019
### π€ Sales Rep Analysis
- Identified top performing sales rep in Senegal
for Budweiser by prof β¦