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Business Intelligence (BI) Dashboards Use Cases with Benefits and Limitations

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Since the introduction of BI or TV dashboards, organizations have had the opportunity to use dashboards for different reasons and operations. The various cases of using TV dashboards depend on the decision to be made, the analysis, or the enterprise level within which specific business intelligence should be shared. In a list of different types of TV dashboards, some of them are explained below, along with their descriptions and how they help organizations or departments where they are implemented. 

Sales and marketing dashboards- The sales and marketing dashboards are some of the most used dashboards and are mainly used by sales and marketing teams, corporate executives, and business managers. The said dashboards are specially designed to include data on the products, the costs of sales operations, retail sales, and other crucial Key Performance indicators, which allow for the tracking of organizational progress against the set objectives, which also helps in the identification of potential trouble sales or spots.

Financial dashboards- Financial dashboards are specialized for displaying financial performance indicators, and there is specialized digital signage software that can be used for financial dashboards to help financial executives and workers in the financial department perform meaningful analyses of the data. Different metrics can be analyzed using financial dashboards, including assets and liabilities, input and output revenue, working capital, profit margins, and operating expenses, among other indicators which can be used to determine the progress of an organization financially.

Customer dashboards- Customer dashboards are some of the most common ones used to show critical information about an organization’s customer base. Some metrics that can be visualized using customer BI dashboards include the revenue per customer, the size of the customer base, and the churn or retention rates. The latter are essential metrics because organizations can use them to stage their sales or marketing campaigns. Additional dashboards can include HR BI dashboards, IT dashboards, Project dashboards, Mobile dashboards, and operational dashboards, among others. 

BI dashboard development and use challenges

In using dashboards, there are different challenges that organizations can face for both the business users and the BI teams. Most of the identified challenges do not result from the software design as some are specialized in the cost of creating, deploying, and maintaining the software and how to use the said software. Additional challenges can include;

  • Clustered dashboards can translate into hard-to-use dashboards, especially for novices or users with limited knowledge about TV dashboards.
  • BI dashboard designers may face the challenge of what information to provide or in which context to deliver the data so that the KPIs and associated data remain relevant to the end users.
  • There is also a challenge of hidden data in that users have to drill down data paths to make the data available useful or use the underlying data metrics. 
  • The challenge of misinterpretation is also a significant challenge when using BI dashboards which expose the users to leaving out important data, which can translate to inaccurate analysis or visualization. 

Solutions to the challenges

The challenges can have significant impacts on the analysis or visualization process, and anyone with experience in using TV or BI dashboards must affirm that good dashboard designs help in presenting data in a way that is easy to understand, saving the users the burden of doing additional analysis or interpretation to understand. One of the best solutions is to consider the digital signage software from Fugo dashboard manufacturers because their dashboards are designed to handle most of the problems using other dashboards. Additional best practices as far as BI dashboards are concerned include; 

  • Make sure the end users contribute to the BI dashboards’ design.
  • Identify the data to be used in the dashboards, which limits instances of incorrect data which can lead to incorrect outputs or analysis.
  • Limit the amount of information displayed on the dashboards. Excess intake makes the displays congested and can lead to difficulty explaining the data.