Visualizing data is one of the most effective strategies for getting the numbers out there and translating them into conversions. There are multiple UX Research methods that liver effective results, such as surveys, interviews, A/B Testing, First Click Interaction Testing, Competitive Analysis, and Heuristic analysis. While collecting the required data isn’t the most challenging part, it is being patient while analyzing the data. Working with the data requires fundamental understanding, and staying patient is crucial to achieving positive results.
A well-designed dashboard goes a long way when launching a platform. Dashboards are a visual representation that consists of some of the most important functionalities/objectives. They are consolidated in one single screen so that the required information can be viewed briefly and reduce the effort on the user’s end. Dashboards are a powerful way to present data-based intelligence using data visualization techniques. Utilizing the right approach to data visualization techniques is a key feature in ensuring the successful foundation of the dashboard. The objective is to simplify the complex data in a comprehensible visual representation for stakeholders to understand and infer from.
A Power BI dashboard, usually known as Canvas, is a single page well-designed to contain the most important highlights of the story, making it much easier to view data reports with detail, visualization being the key here.
However, having a great dashboard is not inclusive of only detailed visuals but also the functionality should be optimal. There are multiple user requirements on the dashboard; one is to view the highlights, and the second is to carry out the functionalities smoothly.
Power BI dashboards are very convenient for revealing key insights consistently, which could easily be lost in data sheets. Multiple organizations use it to make informed decisions faster, and the good news is that you don’t have to be an IT expert to create one using Power BI.
Before proceeding with the dashboard, it is imperative to decide what information will be highlighted instead of others. For instance, a sales-based firm will contain information related to the total revenue of the company, invoice, conversion rates, total sales region-wise, and multiple other sales factors which is important to the organization. The dashboard will contain all these factors with respect to sales because this is what the company will be concerned with.
The dashboard will be highly personalized from company to company based on their goals and objectives along with their approach. The visualizations within the dashboard are referred to as ’tiles.’ You pin tiles to a dashboard taken from reports. Data plays a vital role in creating dashboards using Power BI because the visualizations part of the dashboard is extracted from datasets, so in essence, these are data-driven designs.
Before going any further, let us first understand what Power BI actually is.