Supply_Chain_Database - (Project Week 2)( data cleaning = remove duplicate, remove unwanted columns) (1)

Report on data cleaning in a supply chain database.

Logistics 👁 292 views ⭐ Source on GitHub Report content

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About the Supply_Chain_Database - (Project Week 2)( data cleaning = remove duplicate, remove unwanted columns) (1) dashboard

This is a free Power BI dashboard called Supply_Chain_Database - (Project Week 2)( data cleaning = remove duplicate, remove unwanted columns) (1), in the Logística domain. Explore KPIs, interactive visualizations and get inspired for your own data and business intelligence projects.

Report on data cleaning in a supply chain database.

Categories: Gestão de Dados Supply Chain

Dashboard analysis

Supply_Chain_Database - Project Week 2 focuses on the essential step of data cleaning within a supply chain database. This dashboard highlights the process of removing duplicate records and unwanted columns to ensure the dataset's accuracy and relevance. By presenting a clean and streamlined dataset, it supports better decision-making and more reliable analytics downstream.

The dashboard is designed to answer critical business questions such as: Are there redundant or irrelevant data points that could skew supply chain analysis? How clean is the current dataset before applying advanced analytics? It enables supply chain managers and data analysts to verify the integrity of their data, which is foundational for optimizing inventory management, supplier evaluation, and demand forecasting.

Overall, this dashboard serves as a practical tool for data governance teams and supply chain professionals who need to maintain high-quality data standards. It ensures that subsequent reports and insights are based on trustworthy data, ultimately improving operational efficiency and strategic planning.

Frequently asked questions about this dashboard

What specific data cleaning steps are performed in this dashboard?

The dashboard focuses on removing duplicate records and eliminating unwanted columns from the supply chain database.

Who is the primary audience for this dashboard?

The primary users are supply chain managers, data analysts, and data governance teams responsible for maintaining data quality.

How does this dashboard support supply chain decision-making?

By ensuring the dataset is clean and free of duplicates or irrelevant data, it provides a reliable foundation for accurate analysis and informed business decisions.

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