Five mistakes to avoid when creating Power BI dashboards

Power BI dashboards provide a convenient and efficient means of accessing essential business data from a single location. Referred to as a "dashboard," it comprises an assortment of customizable graphs and tables, allowing users to display pertinent information according to their specific needs.

Power BI dashboards are a quick and easy way to view key business information in one place. Known as a ' dashboard ', it is a collection of graphs and tables that you can customize to display the information that is most relevant to you. 

For example, you can use the dashboard to view sales over a given period, compare the performance of different products, and see how the business area has performed in the past.

Power BI dashboards can be created and customized for each user, as well as easily shared with other team members. This single page operates as a canvas that allows you to tell a story through data visualizations. 

Since it is a single page, a good design is crucial, and it should only contain the outstanding elements of this story that we want to tell. Users can have a general idea of ​​everything important, being able to see the related reports to know the details in a second step.

What is a Power BI dashboard for?

Power BI dashboards are the best way to monitor your business and see all the important metrics at a glance. From here, you can generate alerts or detect incidents that deserve our attention in a more detailed analysis.

Visualizations in a business intelligence dashboard can come from one dataset or multiple datasets, and it's not just a “pretty picture” but an interactive dashboard that updates as data and queries change.

5 mistakes to avoid when creating Power BI dashboards

A dashboard in Power BI, therefore, is a very useful tool to visualize and analyze your business data quickly and efficiently. However, it is important to be careful when creating a dashboard to avoid making mistakes that could affect its effectiveness. 

Here are some of the most common mistakes to avoid when creating dashboards in Power BI:

1. Not having a clear goal . It is essential to have a clear objective when creating a dashboard. You need to know what information you want to present and how you want to present it in order to create an effective dashboard . If you don't have a clear goal, you may end up creating a confusing and unhelpful panel. Perhaps this article on different data analysis techniques will help you set goals.
2. Overload panel . One of the most common mistakes when creating Power BI dashboards is including too much information. A dashboard needs to be concise and easy to understand, so it's important to select only the most relevant information and present it clearly and concisely. If you include too many graphs or tables, the output is likely to be hard to read and unhelpful. If you include too much data, it is possible that some of it is irrelevant to the objective or that it blurs the situation.
3. Not using proper graphics . It is important to choose the right chart type to present the information in a clear and easy to understand way. For example, a bar chart should not be used to compare very large or small amounts, as it can distort the information. 
   
4. Do not customize colors . Colors are an important part of any dashboard, as they can help highlight the most important information and make the result more visually appealing. However, it is important to use colors consistently and to avoid using too many different colors, as they can make it difficult to read.
5. Do not test the panel. Before sharing the result with others, it's important to test it to make sure that everything works correctly and that the information is presented in a clear and concise way. This will allow you to fix any bugs or issues before others see them, making the process more efficient for the whole team. We leave you some tricks to optimize the creation and debugging process.

The main thing, when creating dashboards in Power BI and almost any project within a company, is to have a clear objective. From there, the path will be much easier and you will be able to create an effective and useful table to analyze and visualize your business data .

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