Microsoft Power BI is a business intelligence tool that provides organizations with flexibility and efficient data management. In addition to multiple features such as immersive dashboards, up-to-date data analytics, smart tools, utmost protection, and many more, Power BI also offers Power BI Desktop, Power BI Pro, Power BI Premium, Power BI Mobile, Power BI Embedded, and Power BI Report Server. Among its services are Microsoft Azure and Microsoft Power BI, as well as Microsoft Office 365 and Power BI for analysts, IT, and developers in multiple industries. However, there are some potential business intelligence mistakes that developers may make while working with Power BI. Let’s explore some of the top mistakes in BI projects that should be avoided with business intelligence tools.
Top Power BI mistakes to avoid
A dashboard can be created without a layout
Dashboards should never be created without layouts for Power BI projects. There should always be a layout for a dashboard to be discussed with stakeholders before the final and successful BI project is initiated.
Dashboards that are complex
It should be easy to understand and not complicated to use Power BI dashboards. It will drastically improve data management. Dashboards that are easy to use, smart, and interactive are always preferred by the target audience for better comprehension.
Visual overload
Dashboards should not consist of multiple pages more than ten because it tends to be complicated and very difficult to understand within a short period of time. It is one of the top business intelligence mistakes to put a large number of visuals on each page. It creates overlapping, clutter, as well as distracts the target audience. It affects the data management directly with potential errors.
Multiple dashboards from one file
The practice of opening multiple dashboards in the same file is a common business intelligence mistake. It causes inconvenience and overlap for several departments, including sales, marketing, production, finance, and others.
Relying on unreliable data
A top business intelligence mistake is using unreliable and pivoted data that will have a drastic effect on data visualization and data management, which can incur massive losses for an organization. To generate meaningful insights in dashboards, data should be structured from reliable sources.
Utilizing all columns in the database layer
In order to support business needs, not all columns in the database layer should be used. By adding columns to dashboards, you can increase data volume, increase complexity, and reduce performance.
Data overload
A single report with data overload can lead to confusion and concerns rather than a clear understanding through dashboards. Stakeholders can feel overwhelmed with all kinds of excess metrics at once within a short period of time and there is a potential opportunity for distraction from the main theme.
Inconsistencies
Missing minute details on the data visualization report can lead to inconsistencies in the data management and not-so meaningful insights. Inconsistencies may include different fonts, sizes, excess data, unaligned visuals, and many more. It is one of the common mistakes in BI projects through Power BI.
Not engaged with BI project
The target end-user stops being engaged in the BI project on a daily and weekly basis affecting the functionalities of Power BI in the project. If the continuous cycle of communication between designers and end-users is not working, it can create a drastic effect on the BI project for an organization.
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