The constantly growing volumes of data within the business industry have crowned data visualization as an essential aspect for the growth and development of businesses. This article goes through a comprehensive range of concerns explaining how to implement and use data visualization techniques and tools within the business surrounding. Let’s get started!

Data Visualization Techniques

Charts

This is one of the easiest ways to showcase the development of one or several data sets. When talking about charts you got so much variety to choose from which makes them more appealing. You can use different kind of line charts, bar charts, Histograms, Likert Scale Charts, Pareto Charts, flow diagrams and many other visualizations to present your data. They mainly indicate the relationship between elements over a given period. Also, they can be used to demonstrate proportions or components between elements in a whole.

charts

Maps

Maps are considered a popular technique used for data visualization in different business aspects. They give exceptional results when it comes to locating elements or specific objects and areas. They are mainly incorporated in developing business website plans, building plans, and geographical maps.

Even though maps have a significant impact on data visualization, you need to understand several types of maps. There are the heat maps, cartograms, and the dot distribution maps. All these are implemented in different business scenarios.

Plots

Plots facilitate the distribution of two or more sets of data over 2D or 3D space. They mainly show the relationship between the sets and parameters outlined in the plot. Besides, plots also vary from one another. There are the scatter and bubble plots that are primarily used in data visualization.

When handling big data, analysts mainly use the complex box plots to visualize how large volumes of data relate.

Diagrams and Matrices

Diagrams are used to demonstrate the relationship between complex forms of data and links. They incorporate different types of data in a single visual data representation. The diagrams can either be tree-like, hierarchical, or multidimensional in nature.

Data Visualization Tools

It is evident that data visualization has a significant impact on the growth and development of businesses. However, various data visualization tools play a major role when it comes to business success. Apart from the traditional web and desktop interface, more modernized tools have dominated the airwaves.

data visualization tools

Data Visualization Tools for Everyone

Tableau

This is one of the leading data visualization tools used by most businesses across the globe. This tool is easy to use this good for both the newbies and veterans in the industry. Also, data visualization companies such as Statista rely on this platform to generate meaning from data and give out remarkable insights.

The Tableau is easy to use and comes with a rich library of interactive visualization visuals and presentation techniques. Its powerful working capabilities have made it stand out among all the other tools used for data visualization.  Note that Tableau is an excellent tool used for occasional data visualization and professional data visualization.

The system can handle any data type, like streaming performance data and combining visualizations into functional dashboards. Tableau mainly invests in AI-augmented analytics that mainly contributes to the well-being of businesses.

Data Visualization Tools for Coders

The tools found in this category are more sophisticated and advanced. They come with many advanced elements that fully unlock the benefits of data visualization within a business setting. They also help in elevating visual data analytics techniques and features to applications.

Plotly

Plotly is the most popular data visualization tool that coders use within business settings. This tool is more complex compared to other tools. Besides, it comes with several analytics perks that make it simple to use. This tool helps coders and business owners to create charts using a wide variety of programming languages.

Sisense

This tool comes with a full-stuck analytics capability that makes its work to be easier. The tool is in the form of a cloud-based platform that comes with a drag-and-drop interface handling numerous data multiples. It also supports natural data queries that make it perform exceptionally during data visualization within a business setting.  

IBM Watson Analytics

Whenever you mention data visualization tools, IBM Watson Analytics becomes the well-known tool that has NLP capabilities. This platform mainly supports conversational data control features offering versatile dashboard building and data reporting tools.  However, this tool is expensive and works for businesses that require large-scale data visualization and analytics operations.

Complex Data Visualization Tools

When dealing with large volumes of multi-source unstructured data, businesses tend to look for complex visualization and analytics tools. Let’s discuss more about some of these tools.

Power BI

This is an exceptional tool due to its collaborative drag-and-drop interface. Also, it has a short learning curve and extended integration that makes it stand out. Besides, it has a moderate pricing that is paid every month.  The platform allows its users to create customized reports that are essential for the well-being of businesses.

Power BI is more powerful and can work by streaming real-time data. It is also fully compatible with Azure, among other Microsoft services.

Kibana

Kibana is a great tool that has incredible capabilities of converting data into visual insights for businesses. It is built in a manner that it can work on Elastic arch data. Its working model has made it one of the best tools to use when handling large volumes of complex data.

FAQs

What are the advantages of data visualization tools in business?

Data visualization helps business owners to gain insights across large volumes of data within the business environment. Also, it helps them recognize patterns in the business industry and in making prudent development decisions.

data visualization FAQ

How is data visualization important to business analytics?

Apart from data visualization helping analysts, it also impacts decision-makers in a business setting. It helps them understand the ongoing trends within the business industry and make decisions in line with the business industry.

Final Thought

Businesses use a variety of data visualization tools and techniques. However, the tools and techniques applied depend on the volume of data that needs to be processed within the business environment. To be safer, it is crucial for business operators to analyze the tools and techniques before acquiring one that works for a given business.

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About the author 

Sarah John

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