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Project Goal: Analyze the sales data to identity trends ,top -selling products and revenue metrics for business decision- making.
Tools : Ms Excel and Power BI
Data Source: From MeriSKILL
The following are the steps carried out for the analysis.
Data Exploration: The original Excel spreadsheet of the sales data sets were duplicated to avoid lossing the data completely in case of error during analysis. I went through the datasets to get familiar with them.This aids me to comprehend the data , to ascertain the number of columns that require cleaning and necessary columns needed to manipulate for the project goals.
The table has 10 columns which include Serial Number , Order ID, Product,Price each,Order Date, Purchase address, Month,Sales City and hour. It has 185950 rows.
Data Preparation: Analyses were carried out on the link above (Duplicated of Original files). Month column was renamed as Month number.
Calculations were done as below in Excel Environment:
Revenue = Quantity* Sales
Profit = Revenue — Total Cost
Profit Margin =( profit/Revenue)* 100
Data Analysis : The analyzed Excel Sales datasets were load ,extracted to power BI and transformed to answer required questions.
Below are the insights generated from the data analysis.
Insights Drawn
Recommendations
During the month of February where there was a drop in sales , more campaigns adverts should carried out and implemented as soon as possible
Developing promotions or deals on the products Think Pad Laptop, Google Phone , 27 in Gaming Monitor.