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rasheed-analytics/ZenMart-Nigeria-Sales-Analysis

Domaine:

socioeconomic
Créateur:
ras
Hôte:
End-to-end data analytics project using Excel, MySQL and Power BI — ZenMart Nigeria E-Commerce Sales Analysis 2024 # ZenMart-Nigeria-Sales-Analysis Project Overview An end-to-end data analytics project analysing 50 orders across 4 Nigerian regions. Covers revenue performance, customer behaviour, product analysis, delivery operations, and loyalty tier insights. Built by: Rasheed A. Tijani — Data Analyst Tools: Microsoft Excel | MySQL | Power BI Scope: 50 orders, 44 customers, 27 products, 6 months (Jan–Jun 2024) 📊 Tools & Skills Used Excel Data cleaning, SUMIFS, VLOOKUP, Pivot Tables, IFS() MySQL Database design, JOINs, window functions, DATEDIFF Power BI KPI cards, DAX measures, slicers, interactive dashboard 📁 Repository Structure zenmart-sql-analysis/ ├── data/ │ ├── zenmart_orders.csv │ └── zenmart_customers.csv ├── sql/ │ ├── 01_data_cleaning.sql │ ├── 02_analysis_queries.sql │ └── 03_window_functions.sql ├── dashboard/ │ └── ZenMart_Dashboard.png └── README.md 💡 Key Business Insights Total delivered revenue across all regions: ₦7,556,475 (H1 2024) East region leads all regions in revenue at ₦2,336,950 (31%) Electronics drives 67% of total revenue — iPhone 14 is top product at ₦1.7M Only 4 of 44 customers are repeat buyers — loyalty program urgently needed All regions deliver consistently within 4.9–5.0 days January and May are peak revenue months Platinum and Gold customers together drive 60% of total revenue Average order value: ₦164,271 per delivered order 🧹 Data Cleaning (Excel) Fix product name casing =PROPER(G2) Standardize text case Flag missing Ship_Date =IF(D2="","Not Yet Shipped","Shipped") Identify pending orders Calculate Delivery Days =IF(D2="","N/A",D2-C2) Measure delivery speed Flag Discount Tier =IFS(J2=0,"None",J2 10,"High") Group discounts Total Sales =H2*I2*(1-(J2/100)) Revenue after discount 🗄️ SQL Analysis Data Fixes: -- Fix commas in Unit_Price UPDATE orders SET Unit_Price = REPLACE(Unit_Price, ',', ''); -- Fix date format ALTER TABLE orders ADD COLUMN Order_Date_Clean DATE; UPDATE orders SET Order_Date_Clean = STR_TO_DATE(Order …