Introduction to Data Visualization in Business Intelligence

Data visualization is a common aspect within the business industry. This has introduced multiple definitions that are used to explain what this aspect means and how it can impact business performance. Let's transform this definition into a layman's language to make it easy to understand. Data visualization is the presentation of data or information in a graphical format to make it easy to understand.

According to the research conducted by data specialists, 90% of the information that is directly consumed by the brain is visual in nature. When you want your market audience to consume information easily, you need to present it in a way that they can easily understand without wasting much of their time. The best way to make this happen is by using data visualization to break down all the complex data aspects to make it easier for the brain to point out the major data highlights.

Converting data into visuals is mainly meant to ensure that the message conveyed by the data is passed clearly to its respective market audience without any contradiction. When data is displayed using this format, it becomes easy for readers to browse through the data concepts and understand them without needing interpretation. As the business industry continues to grow, the demand for data visualization continues to increase, especially during data presentation.

The development of the business sector has triggered the need to introduce data visualization in business intelligence. This has been done to propel operations within the business sector. Also, you need to understand that data visualization is applied in two different ways within the business industry. In the first scenario, data visualization involves visually presenting data to summarize it and make it easier for readers to understand the main touch points.

This aspect is also used in generating visual interfaces to communicate essential information within a business setting. Data visualization works hand in hand with business intelligence to enhance the smooth running of operations within all business industries. Remember that this is also the same technique applied in programming algorithms within the technology sector.

The second application of data visualization is in the technology industry, whereby it integrates the system to make it easier to collaborate with any programming language you opt to use. This means that you can easily communicate essential data points regardless of the programming system algorithm since they use a universal language.

Data visualization makes it easier for you to present a significant amount of information in a simple way that people can easily read without wasting their time. Using data visualization in business intelligence generates interactive data concepts that are good at presenting high-quality output that persuades readers to navigate through. Besides, the visuals make it easier for the business to communicate crucial day information with their team members and the respective market audience.

Data Visualization Concepts

You cannot manage to attain your data goals without incorporating data visualization into the mix. Anytime you work on data, regardless of its complexity, you cannot miss using data visualization to get the job done. If you do not utilize the features of data visualization, you are likely to make multiple mistakes that will affect the findings you will get at the end of the process.

The art of data visualization was insights in the 90s when the first graph was designed to help present business data. This created room for the invention of different methodologies of presenting business data to ensure that every element has been brought to the limelight. Note that a graph is the simplest way of passing information to your readers so they can understand and draw conclusions.

Despite the fact that a graph mainly seems to be a sketch, it eliminates a lot of work and ensures that the data is received in the right context. Also, reading a graph does not call for any form of interpretation since everything is outlined clearly. When you use different forms of data visualization in the process, you stand a chance to create an incredible visual that can work well for you and communicate essential data insights clearly.

When you want to present different sets of data on one graph, you can decide to paint the bars using different colors to point out the difference clearly. Ensure that the axis is labeled clearly to make it easier to interpret the presented information. Labeling the axis makes it easier to help the reader understand more about the kind of data that has been presented. In addition, you need to understand that different types of graphs are used in different scenarios.

The graphs include bar graphs, pie charts, polar graphs, and dot maps. The type of chart you choose in data presentation mainly depends on the data you are processing. In addition, you have the freedom to make changes to your graph until you come up with a clear data output that conveys the message you want. Remember that the goal of day visualization is to attract the attention of readers using visuals to convey information in a way that is easy to read.

This means that your final data output should be catchy to attract your readers' attention. Furthermore, you don't need to focus on making multiple unnecessary changes that will affect the message you intend to pass to your audience. You only need to make simple changes that will impact the communication rate and help the readers understand the presented message easily.

Types of Data Visualization

Converting data into a visual format requires you to clearly understand different types of data visualization and how they work. This will offer you the guidance you need to make prudent decisions during data processing. Below are some of the different types of data visualization that you need to know to enhance efficiency during data processing.

Line Graph

The line graph uses horizontal and vertical axes during data interpretation. The data values are outlined on the chart during data processing to create better room for visualization. You can also combine the line graph with other types of data visualization to get a complete visual that is easy to read and outlines all your data in a way that you can easily understand.

Dot Map

The dot map also known as a dot plot chart is mainly used in the Geographical setting. Just like the name suggests, this type of visualization uses dots to outline data values. However, the dots are placed in specific areas within the map to generate a complete data report that conveys a specific message. Every dot on the chart displays a particular unit of data. It's an awesome choice that you can use to analyze the density of population within particular areas.

Pie Chart

A pie chart is the best option to use if you want to display the composition of different data elements within your business setting. This data visualization chart type mainly operates by presenting data in the form of percentages. After all the data is outlined, you can then sum it up in percentages and identify the missing data aspects.

Conclusion

Data visualization works hand in hand with business intelligence helping business owners make prudent development decisions, improve enterprise physical security using clear data patterns, and much more. Approximately 50% of the human brain is visually active. This is where visualization comes in to ensure that the data presented by the business stakeholders can be easily consumed by the respective market audience regardless of its complexity. Provided that you have a clear understanding of how data visualization operates, you are in a Better position to predict the future of your brand.