Business Intelligence or BI has been the talk of the town for some time now. Organizations of all domains believe in its potential and trust it with closed eyes. And honestly, we are not surprised! Business Intelligence and its tools have proved extremely beneficial for businesses of all sizes.
But one area of Business intelligence that steals the show is; BI tools for data visualization. As per the Fortune business insight report, in the year 2019, the data visualization market was estimated at $8.85 Billion. And it is expected to grow up to $19.20 billion by the end of 2027. It is at a whopping compound annual growth rate of 10.2%.
If you are wondering what drove this insane growth, then we have an answer for you.
Escalation of internet use, technological advancements in the areas like Machine Learning, and enhanced use of smartphones and cloud computing technologies are what drive the global growth of the data visualization market. To some extent, the utilization of visual analytics, information visualization, and scientific visualization also contributed to this growth.
What is Data Visualization?
Data visualization is the representation of the data in the form of geographic maps, charts, sparklines, infographics, heat maps, statistical graphs, etc.
It is a concept where raw data is represented in an eye-pleasing and simplified manner. This way the stakeholders can effectively extract the valuable data, get actionable insights and make better real-time decisions.
Maximum of us have a rough idea of data visualization, however, we don’t know the top tools that are the best and are widely used for data visualization.
Top BI Tools for Data Visualization
We have carved a list of top business intelligence tools that are gaining popularity for their amazing offerings.
Let’s see what they are,
Tableau always tops the list when it comes to the most used BI tool for data visualization. And talking about numbers, it provides amazing interactive visualization solutions to more than 57,000 organizations currently.
Tableau excels in creating visualization and graphics from humongous and consistently growing datasets. It also offers integration for advanced databases such as Teradata, SAP, MYSQL, Amazon AWS, and Hadoop.
Unavailability of options like auto-refresh and report-scheduling
2. Dundas BI
If you are looking out for the following things in BI Tools then Dundas is what you need.
Extremely customizable data visualization
Highly interactive scoreboards
Maps, gauges, and charts
Not only these features, but Dundas BI also simplifies the complex operation of cleansing, inspection, transformation, and also modeling of big datasets. And all of this is possible because Dundas BI offers its user full control over visual elements
Huge variety of data sources and Charts
Amazing in-built features for extracting, displaying, and modifying the data
Cannot do predictive analysis]
Doesn’t support 3D charts
3. Zoho Reports
Zoho reports which are also called Zoho Analytics are hailed for being a comprehensive data visualization tool. By integrating business intelligence and online reporting services, Zoho reports helps the users to build and share extensive reports in minutes. With Zoho reports, one can also import Big Data from most of the applications.
Seamless creation of report and modification
Email sharing and report sharing
Lacks good user training
Difficult to deal with large data
Visual.ly is the data visualization tool that has gained popularity for its impressive distribution network which presents project outcomes via illustration. It aligns the process by considering imported data and outcomes and even serves third parties.
Great Output quality
Easily producible illustrations
Multiple link opportunities
Limited options for embedding
Shows only one point
5. Power BI
Another very popular BI visualization tool is, Microsoft’s Power BI. Renowned for its user-friendliness, Power BI is a cloud-based software that is available in two versions; Power BI Desktop and Power BI Mobile. It is full of data visualization features, such as custom visualization, creating visualization using natural languages, etc.
Complex relationships between the tables are not well-handles
No option for configuration visuals
Handling large data volumes
6. IBM Watson
IBM Watson is a highly efficient data visualization tool that is named after IBM founder Thomas, J Watson. With the help of analytical components and artificial intelligence, it spots valuable insights and patterns from both streamlined and raw data. Users can get a complete insight into the discovery operation with IBM Watson’s intelligent visualization.
Natural Language Processing Competencies
Multiple device accessibility
Needs to improve customer support services
Sisense is the data visualization tool that offers its users instant data analytics anytime, anywhere. Besides, it is considered one of the most agile data visualization tools. Sisense can spot valuable data patterns and help the stakeholders make important decisions in real time.
Great customer support
No support for formats
Limited visualization versions
Analytic cubes are not very easy to maintain or develop
So, these were our top BI tools that are widely used for Data Visualization. Do let us know what you like the most in the comments below.
Several BI tools for data visualization can help you achieve what your business needs. However, every business intelligence tool comes with its unique functionality, pros, and cons. Now it depends on your needs and which one your business needs.