Sankey charts are a type of flowchart that are used to visualize data flow and the relationships between different entities in a system. Unlike traditional flowcharts, which rely on arrows to indicate the direction of flow, Sankey charts use directed arrows to represent the flow, making it easier to see how different components of a system interact with each other.

One of the main advantages of Sankey charts is that they allow you to easily see how different parts of a system are connected and how flow may be influenced by various factors. This can be particularly useful for business decision making, as it allows you to easily identify potential bottlenecks or inefficiencies in the system and make changes to improve performance.

Another benefit of Sankey charts is that they can be easily customized to fit the needs of the particular system being studied. This can be especially important, as different systems may have unique characteristics that require different types of visualizations to effectively understand the flow of data within those systems.

To create a Sankey chart, you will need to identify the different components of the system being studied and the flow of data between them. This can be done by using a data flow diagram, which is a type of visual representation of the flow of data through a system. Once you have identified the components and flow of data, you can use a software tool such as Pipedrive, Chartio, or Pitchfork to create the chart and make any necessary adjustments.

When used effectively, Sankey charts can be an incredibly powerful tool for visualizing data flow and improving business decision making. By providing a clear and intuitive visual representation of the relationships between different components of a system, they allow you to easily identify potential areas for improvement and make informed decisions to optimize the system’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.