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Maven Northwind Traders Challenge

Maven Northwind Traders Challenge

About this project

Delighted to share my work on the Maven Northwind Challenge! As a BI Developer, I had the exciting opportunity to work on the Maven Northwind Challenge, where my main objective was to create a comprehensive top-level dashboard that offered quick insights into the company's performance in key areas.

Insights from the data:

ØTotal orders placed are 830, Total revenue generated: $1.35 million

Ø The best-performing regions are USA, Germany, Austria, Brazil, and France.

ØThe top-performing companies are Quick Stop and Save a lot of markets, which have made a lot of sales.

Ø The highest revenue year: 2014, with a revenue of $658,388 and a total sold quantity of 25,489 units.

Ø Top-performing products: Côte de Blaye, Thüringer Rostbratwurst, and Raclette Courdavault.

Ø Underperforming products: Chocolade, Geitost, and Genen Shouyu.

Ø Our top 5 customers are Horst Kloss, Jose Pavarotti, and Roland Mendel, who have shown continued significance to our success.

Ø Speedy Express has the lowest average cost at $65.

Ø These insights have guided us in identifying strengths, areas for improvement, and actionable recommendations to drive growth and optimize operations.

Technology Stack: The Maven Northwind Challenge in Power BI primarily revolves around Microsoft Power BI. The following technologies and tools are involved in the project:

  • Power BI Desktop: The primary tool for data modeling, report creation, and dashboard design.
  • Power Query Editor: Used for data extraction, transformation, and loading (ETL) processes.
  • DAX (Data Analysis Expressions): A formula language used for advanced calculations and data manipulation within Power BI.

Deliverables: The deliverables for the Maven Northwind Challenge in Power BI.

·Power BI Reports: Interactive and visually appealing reports that provide insights into various aspects of the company's operations.

·Power BI Interactive dashboards allow users to drill down into different levels of detail and explore the data visually.

·Data Model: A well-structured and optimized data model that ensures efficient analysis and performance.

Summary: The insights gained from the data were truly enlightening, revealing valuable information about the company's orders, revenue, regions, best-performing products, customers, and more. By leveraging Microsoft Power BI, I was able to build interactive and visually appealing reports and dashboards that showcased these insights effectively. The technology stack for the project included Power BI Desktop for data modeling and report creation, Power Query Editor for data extraction and transformation, and DAX for advanced calculations. The deliverables of the project included Power BI reports and interactive dashboards, as well as a well-structured and optimized data model. Through this project, we gained valuable insights to identify strengths, areas for improvement, and actionable recommendations to drive growth and optimize operations.

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