Welcome to the SAP Data Reporting repository! This repository contains data visualization reports based on SAP downloaded data. The data provided is connected to a hypothetical bike company, offering insights and analysis for better decision-making.
Excel Data File: This file contains the raw data extracted from SAP in Excel format. The data includes various metrics and dimensions related to the bike company's operations, such as sales, inventory, and customer information.
Power BI Report: A Power BI report created using the Excel data file. This report includes interactive visualizations, dashboards, and analyses of the bike company's performance based on the SAP data. Users can explore and drill down into different aspects of the data to uncover insights and trends.
Graphic Showing the Data Model: A visual representation of the data model used in the Power BI report. This graphic illustrates the relationships between different entities and attributes within the data, providing a clear understanding of how the information is structured and connected.
Data Analysis: Utilize the Power BI report to perform in-depth analysis of the bike company's performance across various metrics and dimensions. Explore different visualizations and filters to gain insights into sales trends, customer behavior, and more.
Decision Making: Leverage the insights derived from the Power BI report to make informed decisions regarding sales strategies, inventory management, marketing campaigns, and other aspects of the bike company's operations.
Continuous Improvement: Regularly update and refine the Power BI report to reflect the latest information and business requirements. Incorporate feedback from stakeholders and explore new ways to visualize and analyze the data for better decision-making.
The bike company represented in this data is fictional and serves as a model for analysis and reporting purposes. The data extracted from SAP reflects simulated transactions and activities within the company's operations, providing a basis for understanding and improving its performance.
If you have suggestions for improving the Power BI report or ideas for additional analyses, please consider contributing to the repository. Fork the project, make your changes, and submit a pull request. Your contributions are valuable and help enhance the value of the reports for the community.