Tag: Inventory Management with Power BI

Time-Related Insights From Your Supply Chain Metric

For this tutorial, I’m going to cover some high-quality time-related insights directly from your supply chain metrics. This is connected to a tutorial I previously conducted about supply chain management. It involves a technique on managing a particular operational scenario about multiple dates. I also went through best practice tips on building the right model.

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Inventory Management Reports To Show Trends In Sales

This Enterprise DNA Power BI Showcase focuses on Inventory Management. If you’re an organization which sells products through a range of different warehouses, you need to effectively manage your inventory. Aside from managing the cash held up in your inventory, you also need to make sure that you’re stocked well enough to anticipate the trends

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Supply Chain Management Techniques In Power BI

Managing Your Supply Chain Data w/Power BI - Analysis Techniques

I recently ran a workshop on Supply Chain Management and I want to discuss the key insights from the session. This tutorial can be of great help if you have exposure to this kind of analysis in Power BI. Supply chain management happens within a certain business operation that involves the flow of goods and

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Calculate Days Of Zero Stock – Power BI Inventory Management Insights

Calculate Days Of Zero Stock - Inventory Management Insights wPower BI

I’m going to go over a unique piece of analysis here concerning Power BI Inventory Management. This idea came from a query on the Enterprise DNA support forum. The member wanted to work out how many days there were when the inventory was at zero. This is going to be based on stock movement data.

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Inventory Management Insights with Power BI: Comparing Stock To Sales

In this example, we’re going to dive into inventory management data and extract some awesome insights. I’m adding a bit more variety into some of the Power BI development that I showcase here, and this is quite a unique insight around managing your inventory. All data has it’s nuances so learning a variety of techniques

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