Analytics Insight explores the top power business intelligence mistakes to avoid

Power Business Intelligence or Microsoft Power BI is emerging as the leading business intelligence tool for organizations to provide flexibility ineffective data management. Power BI offers multiple features such as immersive dashboards, up-to-the-minute data analytics, smart tools, utmost protection, and many more with a wide range of products such as Power BI Desktop, Power BI Pro, Power BI Premium, Power BI Mobile, Power BI Embedded, and Power BI Report Server. It offers services like Microsoft Azure and Microsoft Power BI, as well as Microsoft Office 365 and Power BI for multiple industries, analysts, IT, and developers. But, there are some potential business intelligence mistakes that developers may commit in the Power BI in the ongoing BI projects. 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

Creating dashboards without layout

Developers should not create dashboards without layouts for BI projects on Power BI. There should always be a layout of a dashboard for discussing with stakeholders before the start of the final and successful BI project.

Complicated dashboards

Power BI dashboards should not be complicated and hard to understand with fancy visuals. This creates a drastic impact on data management. The target audience always prefers easy, smart, and interactive dashboards for a better understanding.

Excess visuals

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.

One file for several dashboards

It is one of the common business intelligence mistakes to open multiple dashboards in one file. It causes inconvenience and overlapping for several departments such as sales, marketing, production, finance, and many more.

Utilizing unreliable data

One of the top business intelligence mistakes is using unreliable and pivoted data that will have a drastic effect on data visualization and data management that can incur a massive loss for an organization. Data should be structured from reliable sources to generate accurate data visualization in the dashboards for meaningful insights.

Using all columns in the database layer

It is unnecessary to use all columns in the database layer to support business needs. Extra columns can take up memory, enhance complications, increase data volume while reducing the rate of performance in the dashboards.

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 affect the functionalities of Power BI in the project. If the continuous cycle of communication between designers and end-users not working, it can create a drastic effect on the BI project for an organization.