According to a report by Fortune Business Insights, in 2019, the data visualization market was valued at $8.85 billion. By 2027, it’s projected to reach $19.20 billion, growing at an annual rate of 10.2%.
The global data visualization market is growing as more people are using smartphones and the internet. Also, advancements in Machine Learning and the increasing use of cloud computing and the IoT (Internet of Things) are contributing to this growth.
Furthermore, the rise of smart factories and the widespread use of visual analytics, information visualization, and scientific visualization in both small and large companies are also helping the data visualization market to grow.
This blog post will discuss what data visualization solutions & integration is and the common tools used for data integration tools.
But, before we start, it is crucial to know what exactly data visualization is.
What is Data Visualization and its Tools
Data visualization means showing data in pictures like maps, charts, and graphs. It helps people understand information more easily.
When data is shown using pictures, it’s easier to understand and analyze. This helps to get useful information from the data. People who need to make decisions can use these findings to make better decisions quickly.
Data visualization tools make it easy to show data in pictures. They can handle streaming data, work with AI, be embedded into other software, allow people to work together, let users explore the data interactively, and enable users to help themselves with the tools.
Now let’s have a quick look at what data visualization tools are. A data visualization tool is a type of software used to show data visually.
Each tool has different features, but they all let you input data and make graphs. Most of them also have ready-made templates for simple visualizations.
Some of the best data visualization tools are Google Charts, Tableau, FusionCharts, DataWrapper, and more. These tools can show data in different ways, are easy to use, and can handle a lot of data.
Data is really important for organizations. It helps them make important decisions. That’s why people are paying attention to data visualization.
Modern tools and software are available for data visualization integration strategies.
Common Features of the Best Data Visualization Tools
All data visualization tools in the market share certain common features.
One key feature is their user-friendliness. You’ll typically come across two types of software: those that are easy to use and those that are more complex.
Some tools come with helpful guides and tutorials designed to be easy for users. However, others may lack in certain areas, making them less suitable for being labeled as the “best” tools.
One important aspect to consider is whether the software can handle large amounts and different data types effectively in one display.
Another important aspect is the software’s ability to create different types of charts, graphs, and maps.
While some tools excel at a specific style of chart or map, others offer a variety of options. Both types can be considered among the “best” tools.
Additionally, pricing is a factor to consider. A higher price doesn’t necessarily mean a better tool, but it should offer greater support, features, and overall value to justify the cost.
Here are eight excellent data visualization tools that are being noticed in the market for their ease of work and use.
- Tableau
Tableau is a widely used tool for visualizing data because it’s easy to use and powerful. You can connect it to many data sources and make various charts and maps. Tableau is owned by Salesforce and is popular among individuals and large companies.
Tableau comes in different versions, such as desktop, server, and web-based options. It also integrates with some customer relationship management (CRM) software.
Tableau can connect with advanced databases like Teradata, SAP, MySQL, Amazon AWS, and Hadoop. It efficiently makes visualizations and graphics from big and always-changing datasets used for artificial intelligence, machine learning, and Big data engineering.
Advantages of Tableau:
- Great at making visualizations
- Simple to use
- Performs very well
- Connects with many different types of data
- Works well on mobile devices
- Has a helpful community
Disadvantages of Tableau:
- Higher pricing
- Lacks auto-refresh and report scheduling options
- Google Charts
Google Charts is a big name in data visualization. It’s known for creating graphical and picture-based visualizations using SVG and HTML5 coding. Google Charts lets you zoom in on data and works well across different platforms like iOS, Android, and even older versions of Internet Explorer.
Advantages of Google Charts:
- Easy for users to understand
- Simple to include data
- Makes visually appealing graphs
- Works well with Google products
Disadvantages of Google Charts:
- The export feature needs improvement
- Limited demos of tools
- Lack of customization options
- Needs network connection for visualization
- FusionCharts
FusionCharts is a highly popular data visualization services tool that many people use. It’s based on JavaScript and offers ninety different chart building packages. These packages work well with major frameworks and platforms, giving users a lot of flexibility.
Advantages of FusionCharts:
- Tailored for specific needs
- Excellent customer support
- Engaged community
Disadvantages of FusionCharts:
- Costly data visualization option
- Complicated to set up
- Outdated interface
- Data Wrapper
Datawrapper is one of the few data visualization tools that you can use for free. It’s popular with media companies because it can quickly make charts and show statistics on big data consulting. Datawrapper has a simple and easy-to-use interface. Users can create maps and charts and put them in reports easily.
Advantages of Datawrapper:
- No need to install anything to make charts
- Great for beginners
- Free to use
Disadvantages of Datawrapper:
- Creating complex charts like Sankey is difficult
- Security can be a concern because it’s an open-source tool
- Dundas BI
Dundas BI provides customizable data visualizations with interactive scorecards, maps, gauges, and charts. It helps make ad-hoc reports with multiple pages. Dundas BI gives users complete control over visual elements, making it easier to work with large datasets by cleaning, inspecting, transforming, and modeling them.
Advantages of Dundas BI:
- Very flexible
- Supports many different data sources and charts
- Offers numerous built-in features for getting, showing, and changing data
Disadvantages of Dundas BI:
- Doesn’t have a predictive business analytics integration option
- Doesn’t support 3D charts
- Zoho Reports
Zoho Reports, also called Zoho Analytics, is a complete data visualization tool that combines online reporting services and business intelligence tool integration. It lets you make and share detailed reports quickly. This advanced visualization tool also lets you bring in Big Data from important databases and applications.
Advantages of Zoho Reports:
- Easy to make and change reports
- Comes with handy features like scheduling emails and sharing reports
- Can handle a lot of data
- Quick customer support
Disadvantages of Zoho Reports:
- Training for users needs improvement
- The dashboard can get confusing with large amounts of data
- IBM Watson
Named after IBM’s founder, Thomas J. Watson, this top-tier data visualization tool uses analytical features and AI to find insights and patterns in both organized and unorganized data. Using Natural Language Processing (NLP), IBM Watson’s smart, self-service visualization tool helps users find insights throughout the whole discovery process.
Advantages of IBM Watson:
- Natural Language Processing (NLP) features
- Accessible from various devices
- Predictive analytics capabilities
- Self-service dashboards
Disadvantages of IBM Watson:
- Customer support could be better
- Maintenance costs are high
- Sisense
Considered one of the most flexible data visualization tools, Sisense allows users to analyze data instantly from anywhere, anytime. This top-notch visualization tool can spot important data trends and provide statistics summaries, helping decision-makers make informed choices based on data.
Advantages of Sisense:
- Great for important projects with huge amounts of data
- Dependable interface
- Excellent customer support
- Fast upgrades
- Easily customizable
Disadvantages of Sisense:
- Creating and managing analytic cubes can be tough
- Doesn’t handle time formats
- Limited options for visualizations
How to Select the Best Data Visualization Tool?
Choosing the best data visualization tool involves carefully looking at how big your business is, how complicated your data is, and what exactly you need the tool to do.
For small to medium-sized businesses, it’s important to find affordable solutions that are simple and easy to use because they usually deal with moderate data complexity.
On the other hand, large companies should look for tools that can grow with them and handle complex and large amounts of data, and offer advanced analytics features.
Understanding why you’re analyzing data is really important. Whether you want to understand how customers behave, make your operations work better, or do predictive analytics, the tool you pick should be good at those things. Another important thing to consider is how well the tool works with your other systems, like CRM and ERP systems, so everything works together smoothly.
Finally, taking advantage of trial periods and demos is really helpful when choosing a tool.
These trials let you try out the features, see how easy it is to use and check if it works well with your systems. It’s a good idea to involve both the people who will use the tool and the IT team in this process.
Their feedback is important because they’re the ones who will actually use the tool, and they can tell you how useful it is and how well it aligns with your business goals. This user insight can also help you measure your Net Promoter Score (NPS) and compare it to industry benchmarks to gauge customer satisfaction. Net Promoter Score benchmarks can vary depending on your industry, so understanding where you stand can be crucial for improvement.
By carefully thinking about these factors and taking part in trial periods, you can make a smart decision that fits your business’s data analysis needs and plans for the future.
Shariq Kazmi, a senior digital marketing specialist at Cloudways, adeptly leverages data visualization tools to optimize marketing strategies and drive business growth. With extensive experience in the field, Shariq ensures seamless integration of these tools with existing systems, enhancing operational efficiency and delivering impactful results for the company.
Final Words!
In this detailed look at data visualization integration tools, we’ve explored the world of data analysis and decision-making tools.
We’ve seen how different these tools are and how they can meet different business needs.
We highlighted how important it is to match a tool’s abilities with your business’s exact needs. Things like how big your business is, how complicated your data is, and what specific goals your organization has for analysis are all important.
Picking a data visualization tool isn’t just about what features it has but how well those features fit into how you already work and the systems you already use for data.
Choosing the right data visualization integration tool is just as important as the insights you want to get from your data.
With technology always changing, the right tool should work for you now and in the future.
It’s not just about looking at data; it’s about giving your business the power to make smart decisions, find new chances, and stay ahead in a world where data is so important.
Ready to empower your business with the perfect data analytics consulting services? Contact ValueCoders today and unlock the potential of your data!
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