Top Business Intelligence Mistakes to Avoid in BI Projects

Power Business Intelligence or Microsoft Power BI is emerging as the primary business intelligence tool for organizations to provide inefficient and flexible data management. Power BI offers multiple features such as immersive dashboards, late-breaking data analytics, smart tools, optimal 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 professionals, and developers. However, there are potential business intelligence mistakes that developers can make in Power BI in ongoing BI projects. Let’s take a look at some of the top mistakes in BI projects that should be avoided with business intelligence tools.

Top Power BI mistakes to avoid

Creation of dashboards without layout

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

Complicated dashboards

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

Excess visuals

Dashboards shouldn’t be longer than ten pages, as they tend to be complicated and very difficult to understand in a short period of time. Putting a large number of visuals on each page is one of the main mistakes of business intelligence. This creates overlap, clutter, and distracts the target audience. This directly affects data handling with potential errors.

One file for multiple dashboards

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

Use unreliable data

One of the main mistakes of Business Intelligence is using unreliable and pivoted data which will have a drastic effect on the visualization and management of the data which can result in massive loss for an organization. Data should be structured from trusted sources to generate accurate data visualization in dashboards for meaningful insight.

Using all columns in the database layer

It is not necessary to use all the columns in the database layer to meet business needs. Additional columns can take up memory, increase complications, increase data volume while reducing performance rate in dashboards.

Data overload

A single report with data overload can lead to confusion and worry rather than a clear understanding through dashboards. Stakeholders can feel overwhelmed by all kinds of excessive measures at once in a short period of time and there is a potential possibility of distraction from the main topic.

Inconsistencies

Tiny missing details on the data visualization report can lead to inconsistencies in handling data and not-so-significant information. Inconsistencies can include different fonts, sizes, excess data, misaligned visuals, and many more. This is one of the common mistakes in BI projects through Power BI.

Not engaged in the BI project

The target end user ceases to be engaged in the BI project on a daily basis and weekly affects the functionality of Power BI in the project. If the continuous cycle of communication between designers and end users does not work, it can have a drastic effect on an organization’s BI project.

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Rosemary C. Kearney