Data visualization is crucial in any data-driven business. Indeed the global visualization market has evolved thanks to the growing internet use and proliferation of smartphones and the adoption of technology such as Machine Learning, the Internet of Things, and cloud computing technologies.
Apart from that, the market is not likely to slow down at any time because of scientific information visualization and visual analytics in organizations of different sizes.
Because of that, several easy-to-use, highly-customizable data visualization tools are available on the market. These top-rated tools can help you visualize data in various ways to suit your business needs.
Let’s get started.
Data Visualization Explained
Data visualization represents data in visual forms like charts, graphs, or maps. It’s an essential process because it enables users to get deep insight from their data, make data-driven decisions, and make it easily accessible and understandable by others.
Although there are many types of data visualization, the common ones include bar graphs, scatter plots, pie charts, tree charts, mind maps, choropleth maps, PERT charts, etc.
Before choosing a data visualization tool, comparing and contrasting what different vendors offer is best. Integration, customization, ease of use, customer support, and real-time updates are essential factors that the article considered when picking the following tools.
Best Data Visualization Tools
It’s widely adopted because it helps users visualize data, build powerful charts and make dashboards with the application. In addition, its data visualization dashboards and charts are clean or non-clustered.
Further, the platform allows users to access different APIs for in-house apps, CRM tools, ERP tools, and much more. The company released FusionCharts 3.19 and FusionTime 2.7 to help developers create beautiful charts for their mobile and web platforms.
The release comprises several highly requested features and quality improvements to make its charts more user-friendly, accessible, and robust.
This highly-customizable data visualization tool has continuously added vital upgrades such as NLP functionality and Linux support.
Therefore you can add interactive scorecards, charts, maps, and gauges, as well as optimize the creation of multi-page reports.
Dundas lets its users control visual elements by simplifying the complex operation of extensive datasets cleansing, modeling, etc.
Dundas has nurtured a user community where users can get the needed support. They can also create advanced customizable data portraits from scratch and build them into on-premise or cloud applications.
This top-class performance tool is widely used because it offers interactive visualization solutions to several companies.
It integrates with advanced databases like MySQL, SAP, Teradata, Hadoop, and Amazon AWS. Tableau is a flexible and powerful data visualization and analytics platform; because of that, data exploration is now very simple.
Further, the tool efficiently creates graphics from ever-changing datasets used for AI, ML, and Big Data applications. Apart from data analysis, users get the knowledge and support needed to scale their data operations.
The comprehensive data visualization tool integrates online reporting and business intelligence services to support the quick, effortless creation, modification, and sharing of detailed reports. Its users can also import Big Data from significant applications and databases.
They can also create insightful reports and dashboards using the Zoho analytics’ drag-and-drop interface. Next, they can collaborate on dashboards or reports, publish and share them via email or embed them on their websites.
This is one of the most agile data visualization tools that lets users access instant data analytics anytime. Also, the tool identifies key day patterns and summarizes statistics so that decision-makers can make critical decisions backed by the data.
It’s primarily used in mission-critical projects with massive datasets.
There are many data visualization tools in the market. Still, the abovementioned tools have been tested and confirmed to offer advanced features, integrate with other tools, handle massive datasets, and create insightful dashboards and reports.
There is a lot to discover when you use these data visualization tools.
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