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Analyze Sales Data to identify which products have the highest turnover rate

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Project-2

Analyze Sales Data to identify which products have the highest turnover rate

Average Qty of items ordered is 2.27

Introduction

This is a Power Bi Project of the Sales & Inventory Analysis of a fiticious Company Fitcapacity Company The Project is to analyze and derive insights to answer crucial questions and make the company make data driven decision

Disclaimer : Datasets from the Microsoft Adevtureworks database. Used to demomstrate my learnings and capabilities with Proving Data Driven Decisions woth power BI

Objecive:

To provide insights into products with highest or lowest turnover sales

Problem Statement

  1. What Product categories had the highest turnover?
  2. What Product categories had the lowest turnover?

Skills and Concepts demonstrated:

The following Power BI features were incorporated

Getting data from the server (Microsoft based via local host computer)

Modelling relationships with tables where relationships of one to many was created between 2 dimension tables and 1 fact table after proper exploratory data analysis

DAX and Calculated Measure

Quick Measure

Visualization

The report comprises 5 pages:

  1. Category Sales By Quantity
  2. Sales By Categories

Detailed Analysis of each Category Sales

Accessories Category Sales

  • Total Sales = NGN 1.69m

Bikes Category Sales

  • Total Sales = NGN 145.51m

Clothing Category Sales

  • Total Sales = NGN 3.42m

Components Category Sales

  • Total Sales = NGN 20.34m You can interact with the report here

Summary:

Bikes has the Highest Sales Turover while Accessories has the Lowest Sales Turnover

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Analyze Sales Data to identify which products have the highest turnover rate

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