After Covid-19, the most popular data visualization tools have played a prominent role in new decision-making. It helps you monitor your customer actions, better understand your marketing efforts, and describe your business profits.
It helps everyone from data scientists to marketers to break down the raw data and demonstrate everything using graphs, videos, charts, and more.
In this post, I have reviewed and curated the best data visualization tools list to connect to your backend analytics dashboard. Moreover, these reviews are based on drag-and-drop dashboard styles, pricing, integration capabilities, ease of use, and more.
So let’s get started.
What Are the Best Data Visualization Tools?
Here are my top picks for the best data visualization platforms and tools to use this year.
1. Databox
Best Overall Data Visualization and Business Analytics Tool
Databox is the best data visualization software used by over 20000 marketing agencies and businesses. Databox pulls your data into one place to track real-time performance with engaging visuals.
Its dashboard visualization tools allow you to share important performance updates via slack messages.
Pros of Databox:
- 70 one-click integrations – This allows you to connect data from popular tools like Salesforce, HubSpot, Facebook Ads, Mailchimp, Shopify, etc.
- Advanced-Data Calculation – This allows you to perform data calculations from multiple sources, including ARPU, LTV, LTV: CAC, ROAS, etc.
- Over 200 pre-built reports – It covers Google Analytics and CRM to Google Ads, marketing automation, and email performance.
Cons of Databox:
- You might need Zapier for missing API connectors for existing connections.
Best For:
No coding is required as it provides 70+ one-click integrations. Plus, it’s easy for the marketing teams to quickly set up their dashboard.
Cost Breakdown:
Databox has a free plan that allows 3 data sources, up to 3 users, and data refreshed daily. Their paid plans range from $49/month to $248/month.
Their $49 per month Basic Plan is the best choice, as it provides 10 data sources, 10 user accounts, data that refreshes hourly, 10 dashboards, and access to their API.
2. Zoho Analytics
Zoho Analytics is one of the best bi visualization tools on this list. Its cloud visualization tools ensure that your data is uploaded securely. Moreover, you can use a wide variety of tables, components, and charts to transform your data in a precise manner.
Pros of Zoho Analytics:
- The business intelligence dashboard is very intuitive and easy to use.
- Comes with strong security policies
- Allows you to easily embed your dashboards and reports on social media channels and websites.
- Extracts data from multiple resources and then processes it to create insightful reports
- Provides extensive customer support for beginners.
- Assist you in your data visualization process using an AI-based process.
Cons of Zoho Analytics:
- High learning curve if you need more customization and advanced functionality.
- The SQL implementation is difficult at times
Best For:
Zoho Analytics caters to huge enterprises, including Maruti Suzuki, Hyundai Motors, Bajaj Allianz, HP, and HDFC. And it’s also suitable for mid-size businesses as well.
Cost Breakdown:
The pricing plans start at $25 per month and range up to $495 per month. They give you a 15-day free trial to check out the product.
3. Tableau
Tableau is one of the best big data visualization tools that help you visualize data in the easiest ways possible. It is one of the top data visualization companies used by many enterprises for their business insights. Its database visualization tool helps you in creating maps, charts, and every other type of professional graphics.
They also provide a desktop application to enhance your visual representations. Moreover, it provides a “lock the server” solution if you face any problem with the installation of any third-party app. This helps to visualize the reports online or with mobile applications.
Tableau is one of the best data science visualization tools you should definitely consider including if you are running a large enterprise.
Pros of Tableau:
- It provides extensive customer support
- The enterprise team can perform real-time analysis of their data
- The product is easy to update and mobile-friendly
- Provides access to all types of data analytics, including government analytics, insurance analytics, IT analytics, marketing analytics, and more.
- They offer Tableau Public which is a free tool that offers some functionalities of Tableau. However, it does not allow us to save reports locally.
- Offers APIs and JavaScript extensions for customized reports using JavaScript charting libraries
Cons of Tableau:
- There’s no option for automatically refreshing the reports
- Requires prior SQL knowledge to perform any significant data visualization.
Best For:
Tableau online visualization tools are most suitable for large enterprises who are looking for data visualization solutions without any manual setup headache.
Cost Breakdown:
The pricing plans start from $12 per user/month and range up to $70 per user/month.
4. Infogram
Infogram is a web-based data visualization and infographics platform. It permits you to share and make maps, infographics, and charts by converting all the user data into compelling charts.
After that, you can further embed, share, or publish those graphics wherever you want. Moreover, the tool is best suited for marketing teams, government bodies, and even students.
The good news is that you don’t need any technical knowledge or coding skills to implement Infogram.
Pros of Infogram:
- Provides customizable templates to help you add logos, fonts, colors, and more.
- Its bi tools for data visualization offer an ample variety of flags, icons, and images. Proper sets of charts and maps are also present.
- The templates help in creating dashboards, reports, and social media images.
- They also offer beautiful project templates to turn data into engaging content.
- Aside from being useful for government bodies and corporates, it’s also student-friendly as well.
Cons of Infogram:
- Data navigation can be challenging sometimes.
- Needs serious improvement in customer support
Best For:
It is most suitable for auditing, marketing, and sales as it allows you to display your targets with the assistance of templates and charts.
Cost Breakdown:
The paid plans start from $19 per month and range up to $149 per month. Infogram also offers a freemium plan for essential features.
5. D3.js
D3.js is a Javascript-based data visualization tool. The open-source visualization tool supports declarative programming and helps you manipulate documents based on data. It allows you to play with big datasets and is one of the best free visualization tools I have used till now.
Another benefit of d3 js is code reusability, associating data to an element in the HTML, a variety of curve-generating functions, and more.
Pros of D3.js:
- It is an open-source project and works without any plugin
- Enables you to visualize data using SVG, CSS, and HTML
- You can build a charting component with this tool easily
- You don’t need to load the whole library every time
- Helps you with Document Object Model (DOM) manipulation
- It requires minimal coding to generate data visualization graphs
Cons of D3.js:
- It’s very time-consuming and a bit complex
- Needs to be more flexible and offer better options
Best For:
It is best suited for those firms that need to create dashboards for websites. You can also build excellent apps with the help of this data visualization tool.
Cost Breakdown:
D3.js is absolutely free. Moreover, It also offers a quote-based plan for which you have to get in touch with the vendor.
Now, let’s cover the basics.
What is Data Visualization?
In the 21st century, it is said that data is the new oil.
It is estimated that over 2.2 million terabytes of new data emanate every day, and the number is increasing day by day. Handling this data explosion is quite challenging and a humongous job. So to make life a bit easier, more and newer advanced techniques for data analysis were created.
This is where easy data visualization tools for websites were born. It’s the simplest way you can demonstrate and analyze data. It helps you break down complex datasets into simplified steps that even a layman can understand.
The technique graphically depicts the relationship between data. For that, data visualization technologies use elements like histograms, tables, bar graphs, maps, and charts to correlate between different sets of data. Moreover, the method helps us understand the underlying trends and patterns in data.
Nowadays, scientific data visualization software is been used in every sector including auditing and finances, the marketplace, stock market analysis, business intelligence, artificial intelligence, and more.
How Do You Use Data Visualization Tools in Data Analytics?
Interactive data visualization tools help you transform numbers into diagrams. So you have a lot of options, depending on your objectives and business requirements here are the types of data visualization tools.
1. Column Charts
Column Charts help you demonstrate data points using a linear time frame.
2. Bar Charts
Bar Charts are a simple way to take data sources and depict quantitative data in a differentiable manner.
3. Pie Charts
Pie charts help you to show a chunk of your dataset in the form of a pie. This is usually used to get a better picture of the relative performance of a particular objective or product.
4. Venn Diagram
A Venn diagram allows you to establish relations between 2 or more datasets.
5. Gannt Charts
This type of chart is used to show the advancement of different stages of a project. It provides insights into the rate of completion for a particular task or objective.
6. Line Charts
Line charts are popularly used in stock markets and financial studies. It is used to study the trends of a dataset over time. Plus, to analyze crests and troughs in the line chart pattern.
7. Dashboards
Yes, here I am talking about the entire dashboard made up of charts only. The dashboard collects small pieces of data in form of vector graphics, and treemaps, and shows a holistic picture to the decision-maker.
What Should You Look for in Data Visualization Tools?
Every business is different, and needs will vary, but some of the features needed are similar across industries. So here is the list of some of them.
1. Easy to Embed
The tool should provide you the ability to embed the derived insights on your website or any social media channels. Seamless embedding of charts into your software can facilitate easy, actionable, real-time decision-making. Ultimately, it improves your business decision-making capability.
Make sure the tool makes sharing and embedding of reports straightforward and easy.
2. Real-Time Collaboration
Real-time decision-making necessitates real-time intra-team and inter-team collaboration in any business. It helps team members to draw conclusions easily. Plus, it offers better visibility, and instant access, and keeps everyone on the same page.
3. Scalability
Any business foundation relies on profitability and sustainability. This is only ensured by scalable tools, designed with the future in mind. Make sure the tool is capable of handling the future needs of your business.
4. User Friendliness
Make sure that you can utilize the tool to its maximum before purchasing. It should be easily operatable and has as few hassles as possible. It should provide you with the desired intuitive and modern dashboard for your purpose.
5. AI Integration
Future data decisions will be driven by AI-based assistance and predictability. Make sure the tool helps in predicting trends and suggests necessary changes.
Apart from these, you should look for streaming data support, customer service, dynamic infrastructure, interactive exploration, and more.
Best Online Data Visualization Tools – Summary
These were some of the best data visualization tools out in the market to use this year. I will keep updating the list with other relevant graph visualization tools as we proceed. These tools will help you make your presentation more interactive and smart.
Whether using Microsoft Windows, Android, or Apple Devices, these tools will help you to extract raw data. Not only from a single source but from multiple databases and present in simplified form.
Which of the top data visualization tools are you planning to use? Let me know your feedback in the comment section below.
More from Smashitbuck: Check out our other articles on drawing software, time management skills, and 3D printing software to explore this year.
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