Sankey charts, also known as directional flow charts, are a powerful visualization tool for displaying the flow of data and the relationships between different entities. They are particularly useful for showing the movement of items or information between different departments or processes, and can be easily created using spreadsheet software such as Microsoft Excel or Google Sheets.

To create a Sankey chart, start by selecting the data you want to visualize using the Excel or Sheets dataset builder. Then, click on the Insert tab and select Sankey chart from the chart options. You can adjust the colors and other visual properties of the chart to make it more visually appealing.

Once you have created your Sankey chart, you can use it to gain insights into your data’s flow and relationships. One of the main advantages of Sankey charts is that they allow you to easily see which entities are flowing into or out of a particular process, and which are consuming or producing the most data. This can be helpful for identifying bottlenecks and areas for improvement in your processes.

Another potential application of Sankey charts is for analyzing customer behavior or sales patterns. For example, you could use a Sankey chart to show the flow of products or services between different customer segments or sales channels, and gain insights into which products or services are most popular among different customer groups.

Overall, Sankey charts are a useful visualization tool for anyone looking to understand the flow and relationships within their data. They are particularly useful for business analysts, process designers, and anyone looking to gain insights into their organization’s data flow and relationships. By using Sankey charts, you can gain a better understanding of your data and make more informed decisions about how to optimize your processes and improve your organization’s performance.

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.