According to the study, the data visualization wave began dominating the business industry a few years ago. Its market size is estimated to have attained a threshold of $8.85 billion by the end of the year 2019. This is expected to increase to an average of $19.20 billion by recording a growth rate of approximately 10.2%.
The steady growth of the internet, the use of smartphones, and advancement of machine learning has greatly triggered the continued growth of data visualization across all the business domains. In addition, the use of data visualization tools has greatly increased following the advancement of the business industry and the internet in general.
What is Data Visualization?
The term data visualization remains a night of darkness among many people who do not comprehend its meaning. Long story short, data visualization is the visual presentation of complex data using visualization tools. These include charts, graphs, and heatmaps, among others.
The data presented in a visual format is easy to read and understand, making it easier to utilize the information in decision-making. Also, it makes it easier to generate vital insights that are used in the management of business operations. The data visualization tools offer support that enhances interactive collaboration that supports the visual presentation of data.
There are many data visualization tools that are used in visual data presentation. Below are some of the top data visualization tools that you need to know.
Read: Top 10 Mobile Apps to Make Big Data Visualisation Easier
Data Visualization Tools for 2022
1. Zoho Reports
Zoho Reports is a popular data visualization tool known as Zoho analytics, mainly used to compile business intelligence reports. The tool makes it easier to enhance the shareability of the reports within the shortest time possible. Besides, Zoho reports activities such as exporting big data files from other sources.
- It has an expansive room to accommodate data
- It is easier to create and modify reports
- Offers a prompt customer support system
- It can be used for email sharing and scheduling reports
- If you are handling large files of data, the dashboard becomes confusing
- You need to undertake in-depth training to learn
Sisense is a data visualization tool that is considered to be the most agile option. The tool gives its users access to real-time data analytics at any point. It can also identify the key patterns and trends within the provided sets of data and summarize the statistics to generate insights that take part in making prudent business decisions.
- The tool has an excellent customer support system
- It is a good choice when dealing with massive amounts of data
- It has a flexible and a straightforward customization process
- It has a reliable user interface system
- It does not give room for time formats
- It only has a limited visualization version
- Creating and maintaining analytics cubes is a challenging task
- It has an excellent support system
- You can customize it depending on your needs
- It has an extremely active community
- The tool is complicated to set up
- It is relatively expensive
- The user interface is old fashioned
Tableau is among the most used data visualization tools offering an exciting visualization solution to many companies across the globe. The tool offers integration for any advanced database, such as Amazon AWS, among others. Tableau is a good choice that can be used in creating visuals for the constantly growing data sets.
- It’s extremely easy to use
- It can be used on a mobile phone
- It has incredible visualization abilities
- It can be connected to multiple devices
- The pricing plan is relatively expensive
- You cannot auto-refresh or report
5. Google Charts
Google chart is among the best players taking part in data visualization. Google charts that are coded with HTML5 and SVG have the capability to generate graphical and pictorial visuals that present data in an easy-to-read format. The tool is highly compatible with iOS, Androids, and other internet explorer versions.
- Generates attractive data graphs
- It’s easy to integrate with data
- The platform is user-friendly in nature
- It’s highly compatible with other Google products
- It has inadequate tools for demo
- It requires network connectivity to function
- The data exported needs a higher fine-tuning
6. IBM Watson
This tool was named after the founder of IBM, Thomas J. Watson. The tool utilizes artificial intelligence and data analytics components to generate insights and trends from data variables. It has the potential to analyze both structured and unstructured data values. The tool is mainly focused on guiding users throughout the data discovery process.
- It offers reliable results when used in predictive analytics
- It has a self-service dashboard
- It comes with the NLP capabilities
- It can be accessed from multiple devices
- It is relatively expensive to maintain
- It has an unreliable customer support system
ChartExpo is a first-class data visualization tool that gives you the freedom to convert boarding spreadsheets into excellent and attractive visuals that are easy to read and digest. ChartExpo offers an ever-growing library of new custom charts including Sankey chart, Scatter plot, Likert scale chart, Radar and Gauge chart. Besides, you don’t need to have any technical expertise since it is a matter of reading and interpreting the steps it takes to convey data into a meaningful format.
- No Coding required
- It has excellent editing features
- Generates compelling visuals
- Easy to use, thus saving time
- It can be interconnected to multiple devices
- No yearly plan available in pricing
This tool uses a business intelligence model to run and comes with a combination of multiple data visualization tools that makes data processing easier. You can easily generate any visual using the tool since it gives room for combining images, cards, and texts. Also, the tool has a wide room that offers guidance to readers as they read the data.
- It has an inbuilt dashboard to generate quick insights
- It has a free trial period before paying for the subscription
- It’s relatively cheap
- It has a poor customer support panel
RAW is a dominant data visualization tool that is popularly known as RawGraphs. The too mainly deals with data in the form of TSV or CSV files. It comes with conventional and non-conventional layouts that make generating different kinds of visuals easier depending on your needs.
- The mapping features are easy to use
- It has great scalability options
- The interface is simple and easy to use
- It has an expansive room for analyzing, storing, and using different data elements.
- The tool is not user-intuitive
- It’s not available for log scales
10. Microsoft Power BI
The Microsoft Power BI is a data visualization tool mainly focused on creating a data-driven business culture that propagates the growth and development of businesses. It has impeccable features that take part in analyzing and aggregating meaningful insights from data elements.
- It generates superb visuals
- The customer support system is very reliable
- It generates visuals within the shortest time possible
- The dashboard is easy to read and understand
- It can be connected to multiple devices
- It’s relatively expensive
Read: Microsoft Power BI VS Zoho Analytics – BI Tool Comparison
11. Dundas BI
This tool offers impeccable visualization capabilities generating visuals such as gauges, charts, maps, and many more. Besides, it gives its users total control over all the provided features to ensure that users get exactly what they want. The tool simplifies all the complex data features into simple elements that you can easily read and understand.
- Highly flexible
- It gives room to multiple sources of data
- It has many inbuilt features that make data processing easier
- It does not support 3D features
- It does not support predictive analytics
12. SAP Analytics Cloud
This tool uses data analytics and business intelligence capabilities to generate interactive visuals that display data in different formats. Also, the SAP analytics cloud presents some of the latest features and tools that make data processing easier. It gives suggestions and recommendations on what needs to be done to enhance data accuracy.
- It offers predictive data analytics
- Offers real-time data processing
- Presents highly intelligent features and tools
- The pricing plan is expensive
- Users need to undertake thorough training
Visual.ly is popularly known for its real-time data processing features that play an integral role in displaying project outcomes. The tool is good at processing data values and presenting them in an easy-to-read format and a presentable format.
- It offers multiple link opportunities
- The quality of the output is outstanding
- Easy to use and generate incredible visuals
- It only displays data at a single point
- It has a very limited scope
14. Qlik Sense
Qlik sense is determined to convert business enterprises into data-driven companies by offering a highly interactive data analytics processing engine. It uses a well-developed artificial intelligence system that gives business owners a chance to utilize the most recent tools available on the market. You can use this tool to generate any visual of your desire.
- It’s pretty simple to use
- It offers the most recent features in town
- Creating visuals only takes a few clicks
- You can opt to use the free or the paid version
- The customer support is poor
- It is expensive
Plotly works hand in hand with different programming languages to present the simplest data version that you can read and understand. The tool is integrated with different languages such as Python, Matlab, and R. This data visualization tool is mainly used to handle collaborative tasks within an organization.
- The visuals exported are of high-quality
- The user interface is highly interactive
- The tool facilitates online editing of visuals
- The processing speed is low at times
- The screen flashing makes users confused
- The free version has a bunch of limitations
Different data visualization tools such as Tableau boast over 1,000,000 users who are actively using the tool in their daily operations. The choice of your visualization tool entirely depends on the nature of the data that you are dealing with. It’s vital to ensure that you have some first-hand information regarding the tool you choose to use in solving your data-related needs.