Making decisions can be one of the biggest challenges a manager or business owner faces. One helpful tool is data visualization. By taking raw data and transforming it into a visual representation, we can often grasp what is going on and even see the bigger picture. The problem is, visualization can be tough to get right. An unsuccessful outcome can lead to poor or damaging decisions being made.
Here are four tips on how to make successful data visualizations – e.g., charts, graphs, flowcharts, etc.
1. They need to be easy to understand
When visualizing data, it can be very easy to make the outcome incredibly confusing. By having too many sets of data, trying to compare and visualize too much, or by simply laying information out in a confusing way, you could actually decrease the effectiveness of the message you are trying to convey or lose it altogether.
When creating visualizations, try to get someone who is part of your target audience to look over it and make sure they can understand what the visualization is representing and that it is easy to comprehend. If they can’t, you need to go back to the drawing board and try to come up with a way to present the data where the intended audience can understand and follow it easily.
2. They need to cater to the audience
The main reason most managers or owners visualize data is to present it to an audience. 99% of the time, this audience is a decision maker and you are trying to get them to decide on whatever the data visualization is representing.
Therefore, when setting out to visualize your data you should first define an end goal – what you want the audience to do with the data. In order to do this, and to develop a successful visualization, try considering these three questions:
3. They need to have a clear framework or layout
When visualizing data you need to ensure that you develop a layout or framework that is clear and easy to follow. This means focusing on two main areas:
Above all – They need to tell a story
The most successful visualizations tell a story about the data. Unlike TV or movies, you aren’t telling a story for pure entertainment. The story should be related to how the audience will be affected or can be helped by the data represented in the visuals. If you are struggling to find a way to tell a story, try actually explaining the data. By knowing it inside and out, you will likely be better able to come up with an explanation that you may be able to weave into a fluid story for your audience.
If you are looking into visualizing your data, or improving how you present it, why not contact us to see how our systems can help.