Introduction to Data Visualization in Business Intelligence

In standard terms, data visualization refers to the visual presentation of information and data. On the flip side, visualization transforms data into a visual context. According to analyzers, 90% of the information transmitted to the brain is in the visual format. 

The human brain is designed to comprehend the information displayed in the visual format easily. The transformation of data into visuals is mainly meant to enable viewers to easily browse and comprehend the information. The continued development of the business industry has greatly triggered the need to incorporate data visualization in business operations.

In recent days, there has been the introduction of data visualization in business intelligence to streamline operations within the business industry. The most exciting part is that data visualization is applied in a couple of ways within the business industry. 

In the first instance, data visualization includes the theory of representing data in a visual way for readers to get it easy to comprehend the intended information. This concept has also been adopted in creating visual interfaces to elevate the mode of communicating vital information across a broad audience.

Besides, the data visualization software is also used in the everyday operations of the business intelligence software that is used to enhance the smooth running of the business across the industries. Note that the adoption of this concept is similar to object-oriented programming in the technology sector.

Object-oriented programming has been made so that it can be tailored and used in line with any type of programming language in the technology industry. Similarly, data visualization offers features that are used to create visualizations that communicate critical information in a more transparent manner.

The software offers guidance during the formation of visualizations, making it easier for the casual user to create compelling visualizations that carry critical information. In addition, visualization in business intelligence offers a series of interactive concepts that create high-quality output that any business across the industries can use.

Also, it gives users a chance to interact with data creating an expansive room to view data from multiple angles. It converts a visualization from a presentation technology to an analysis process that can be implemented by any business to generate better results.

The Data Visualization Concepts

The reality is that data visualization is not a new concept in the business industry. It incorporates everything to do with the presentation of data in a more simplified way go readers to comprehend. The idea was introduced back in 1970, focusing on designing graphs that present business-related data.

Note that a graph is a simple presentation of data operations in a paper focusing on passing a piece of specific information. Even though a graph may appear as a sketch, it eliminates the most common mistakes caused by a lack of understanding.

Once you apply different concepts of data visualization, you can come up with a more advanced type of graph that involves multiple features closely related to the data being presented. When representing different data contexts on a single graph, you can opt to paint the bars using different colors depending on the nature of the presented data.

Also, it would help if you labeled all the axis keenly depending on the data you have at hand. This helps to tell the reader the kind of data plotted on both ends of the graph. The most useful graphs are line graph bar graphs, different types of polar graphs, pie charts, dot maps, and more. There are many changes that you can make on your graph until you come up with an appealing drawing that is well labeled on both ends.

However, you don’t need to make multiple unnecessary modifications to the graph since you might change the ultimate goal of the data presented on the graph. Keep in mind that simple changes on the graph improve the communication rate.

Types of Data visualization 

Converting the information into a visual format is not the ultimate goal; however, data is easy to comprehend when presented in a visual way. On the other side, a visual is a tool that is used to create the connection between different aspects.

Let’s get down and shed light on the different types of data visualization available.

Pie Chart

A pie chart is a common type of data visualization that is mostly used in marketing departments across industries. It is good at showcasing the composition of different elements within a business setting. 

On most occasions, it presents data in the form of a percentage. The data is then summed up to evaluate any missing values across the marketing department.

Line Graph 

This visual type makes use of a horizontal axis and a vertical axis. The values are labeled on the lines depending on the nature of the data. Note that this type of visualization can also be used together with other visualization types to generate the desired results.

Bar Chart

A bar chart is used in making comparisons of different elements to each other. In most cases, a bar chart is used in business intelligence as an interactive page element to bring out the precise meaning of different aspects regarding the data.

Besides, a bar chart is a more versatile tool that can be modified to showcase more complex data. At some point, the bars can be clustered depending on the size of the data you intend to present in the graph. 

Dot Map

This type of data visualization is primarily used in the form of the geographical domain. Dot maps are mainly created in the form of dots perfectly placed on a map. The dots are marked on specific locations within the map to represent the data values. 

Dots are mainly used to define a single unit or denote the number of objectives. This is a good tool that is primarily used to evaluate density within specific areas. A dot map is a good tool for a market analysis for your business products and services.

Final Verdict! 

Business intelligence is growing steadily across the industries. Analyzers have revealed that 33% of developed businesses apply business intelligence in decision-making. This gives them a chance to continue dominating the industry by securing top positions across the industries.

Author Bio:

Lori Gillen is a Blogger/Content Creator who is specialized in the field of Digital Marketing & Data Analysis with 5 years of experience. Currently working as a Senior Content Creator.