Power BI is a valuable tool for enterprises of any size, allowing users to interpret large datasets at-a-glance with clarity and ease of use. However, both frontend and backend users can encounter a wide range of challenges throughout their Power BI experience. In the first of our two-part series, learn more about the frontend challenges of Power BI below.
Poorly designed visualisations
The overall design of Power BI reports will dictate how easy and accessible your information is to frontend users. While it can be tempting to stuff your reports with data, information, and charts to look more professional and useful, less is often more, ensuring that your audience can understand collected insights in an instant.
To optimise the ease of use of your dashboard and improve accessibility, remove any aspect of your report that isn’t critical or necessary – such as patterns, textures, or distracting fonts.
As well as this, colour schemes should remain professional, clear, and minimal – ensuring that your audience’s attention isn’t disturbed. Additionally, we recommend that text is only used when it adds additional clarity or information.
For more information, look at Microsoft’s guide on creating great visualisations in Power BI here.
Variation in results from the same time-sensitive report
Anyone who has attempted to lose weight may have been told to weigh themselves at the same time of day for consistency and control over result variation. Your reports are no different.
Metrics matter, and they can be influenced and changed for a whole host of reasons. One of the most common reasons your reports may change is time. The data collected from one quarter may differ drastically then the data collected in a different quarter, and so on.
Dependent on the enterprise, weekly reports may look very different from their previous counterparts. It’s necessary to consider when you use your reports, and when you measure your data – communicating a steady and dependable approach that ensures insights are reliable, consistent, and remove any possibility of misinterpretation.
Lack of defined goals
Data visualisations and Power BI dashboards are great at delivering a wide range of information quickly, easily, and on-demand. However, with no defined metrics or goals behind the report, the information collected and presented may not be optimised to provide the greatest value possible.
To ensure that Power BI dashboards are as valuable and insightful as possible, it’s important to establish pre-defined goals before the reports are created. This prioritises the needs of the end-user throughout construction.
Learn more today