Sankey charts are a type of flowchart that are used to visualize the flow of goods, services, or information. They are also known as “funnel charts” or “mass flow charts.” Sankey charts are particularly useful in industries such as logistics, marketing, and project management, where it is important to understand the flow of goods or information.

The key advantage of a Sankey chart is that it helps to identify bottlenecks and areas for potential improvement in the flow of goods or information. By visualizing the flow, it is possible to see where the most significant bottlenecks are, and where there is room for optimization.

To create a Sankey chart, you first need to have a clear understanding of the flow of goods or information that you want to visualize. This involves gathering information about the various steps in the process, and the flow of goods or information between each step.

Once you have a clear understanding of the flow, you can use specialized software to create a Sankey chart. There are a number of options available, including online tools and desktop applications. Some popular tools for creating Sankey charts include Microsoft Visio, Lucidchart, and SmartDraw.

Once your Sankey chart is created, you can use it to identify areas for improvement and optimize the flow of goods or information. This may involve rearranging steps in the process, or identifying opportunities for outsourcing or subcontracting certain tasks.

In conclusion, Sankey charts are a useful tool for visualizing and understanding the flow of goods or information. By creating a Sankey chart, you can identify bottlenecks and areas for improvement, and optimize the flow of goods or information for better efficiency and productivity. Whether you are a manager in a large organization, or a small business owner looking to streamline your operations, Sankey charts can be a valuable resource.

SankeyMaster

SankeyMaster is your go-to tool for creating complex Sankey charts . Easily enter data and create Sankey charts that accurately reveal intricate data relationships.