Best Practices for Building BI Dashboards for Deep Insights
BI Dashboard Best Practices to Achieve Seamless Insights
Enterprises have immensely adopted Business Intelligence (BI) tools to transform their raw data into useful information. Analyzing data with not just BI but by combining data mining, data visualization, and data tools have allowed data professionals to process data for taking business decisions. The data is presented in the form of dashboards and reports which are not only easy to access by all business units but are also easy to interpret. But in order to seamlessly make sense of the data which a BI tool displays, it is important to follow certain BI dashboard best practices.
Microsoft Power BI is the most preferred BI tool due to its ability to display interactive data and following all the data compliance and regulation needs. Power BI consulting services also assists organizations to adopt and design a Power BI solution for their BI and self-service needs. Depending on who or which department wants to visualize their KPIs and analytics metrics, a BI dashboard can be developed based on the reporting requirements. And so, in this blog we will look at some Power BI dashboard best practices which can be implemented by data experts to develop business strategies based on data.
Follow these best practices to design effective Power BI dashboards.
1. Outline your reporting requirements
The first and foremost question BI professionals should ask themselves is that which person or which business unit requires a data visualization dashboard. Addressing this question will ensure drawing up the right KPIs which needs to be measured and which will show the details of these metrics in the form of data.
2. Choose the right visualizations
Visualizations play an important role because of the way it allows a user to consume data. Too many visuals and designs clutters a dashboard and also doesn’t resonate with the audience. So choosing the right type of chart which displays the data in an easy manner helps in faster understanding of what that specific data represents.
3. Focus on layout and customization
Understanding where the organization logo should be, and what should be the title of the dashboard makes it easy to quickly drill down the data. Using the right labels and providing content to all the parameters makes is seamless for a person who intends to read specific data. Using right colours also provides comfort in reading data effectively as different colours can mean different things in a dashboard.
These were some of the best practices for creating Power BI dashboard but also go through 10 must dos to create a compelling Power BI report.