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Supply chain performance is critical to the success of any business. In today's fast-paced and globalized economy, businesses need to be able to quickly and efficiently respond to changes in demand and disruptions in the supply chain. Digitalization, automation, and real-time visibility are helping businesses to improve their supply chain performance by providing them with the insights and tools they need to make better decisions.

This blog post will discuss how to use Microsoft Power BI to improve supply chain performance. We will focus on the development of a real-time Power BI dashboard using the Action Design Research (ADR) method. This dashboard can help small business owners to effectively and affordably manage their supply chains.

What is Microsoft Power BI ?

Microsoft Power BI is a business intelligence (BI) and data visualization tool that helps businesses to analyze their data and make better decisions. Power BI can be used to connect to a wide range of data sources, including ERP systems, databases, and cloud-based platforms. Once the data is connected, Power BI can be used to create interactive dashboards and reports that provide insights into the business.

How to Use Power BI to Improve Supply Chain Performance

Power BI can be used to improve supply chain performance in a number of ways. For example, Power BI can be used to:

• Track key supply chain indicators (KPIs), such as order fulfillment rates, inventory levels, lead times, and supplier performance.
• Identify bottlenecks and inefficiencies in the supply chain.
• Forecast demand and optimize inventory levels.
• Simulate different scenarios to assess the impact of changes in the supply chain.
• Track and manage shipments and deliveries.
• Collaborate with suppliers and customers to improve supply chain visibility and coordination.

Developing a Real-Time Power BI Dashboard Using the ADR Method

The ADR method is a systematic approach to developing and evaluating information systems. The ADR method consists of four phases:

1. Problem analysis: This phase involves identifying the problem that the information system is intended to solve.
2. Action design: This phase involves designing the information system and developing a plan for implementation.
3. Retrospective analysis: This phase involves evaluating the information system and identifying areas for improvement.
4. Re-design: This phase involves making changes to the information system based on the findings of the retrospective analysis.