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Analyze and Visualize a large sales dataset

Updated: Dec 28, 2023




Problem Statement:


The goal of this assignment is to develop a Power BI report to analyze and visualize a large sales dataset to provide insights and recommendations for a company's sales strategy.


Steps:

  1. Data Preparation: Clean, transform, and organize the sales data from multiple sources into a single, usable dataset.

  2. Data Analysis: Analyze the data to identify patterns, trends, and insights into the company's sales strategies and performance.

  3. Data Visualization: Create interactive visualizations and dashboards using Power BI to present the data analysis in a way that is easy to understand and navigate.

  4. Recommendations: Based on the data analysis, provide recommendations for the company's future sales strategies, including specific tactics and initiatives.


Deliverables:

  • A Power BI report that includes:

    • Interactive dashboards

    • Data visualizations

    • Insights and recommendations based on the data analysis


  • A brief presentation that explains:

    • The data analysis process

    • Key findings and insights

    • Recommendations for future sales strategies.


Here are a few dataset options:

  1. Retail Sales Data: This dataset can include information on sales from a retail store, including product details, customer demographics, and transaction information.

  2. E-commerce Sales Data: This dataset can include information on sales from an online store, including product details, customer demographics, and shipping information.

  3. Marketing Campaign Data: This dataset can include information on a company's marketing campaigns, including campaign details, target audience, and campaign results.

  4. Customer Demographic Data: This dataset can include information on a company's customers, including demographic information, purchasing behaviors, and customer satisfaction data.

  5. Employee Performance Data: This dataset can include information on employee performance, including job responsibilities, performance metrics, and employee satisfaction data.

  6. Healthcare Data: This dataset can include information on patient demographics, health conditions, and healthcare utilization.


This project can be used as final year project, capstone project, personal portfolio project, resume, proof of concept.


If you need implementation for the above problem or any of its variants, feel free to contact us.


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