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In this continuously growing technological sector, it has become a necessity to know the data and get some insights about it. And data visualization is one of the best parts of getting the invisible patterns and courses in the data! What seems more appealing to you? A wonderful and detailed bar graph or a tedious spreadsheet showing the same data?
From a business perspective, data visualization tools can improve visualization of all the data created by business methods and create dashboards to maintain track of everything.
With Data visualization tools, you can create graphics with data regarding particular results, projects, reviews, and data. Where business intelligence (BI) like the Power BI tool assists with synchronizing large volumes of data, visualization tools support presenting that data in new methods to promote knowledge and decision building.
In this post, we’re going to discuss the best data visualizations tools for presenting data. So without any further ado, let’s get started!
What is Data Visualization?
Data visualization is a great way to represent your data in a graphical form using visual elements such as maps, charts, and graphs. It provides a great way to analyze and identify trends, and structure of data.
In the era of Big data, data visualization offers modern tools and technologies to analyze a huge amount of information and make data-driven decisions. We can say that data visualization is a process of displaying your information in a visual form. These tools create visualizations automatically and allow you to create your own visualizations depending on your capabilities.
Apart from this, you can also find some simple and free data visualization tools to create infographics instead of performing complex data analytics. At the higher end, some tools can change visualizations on the fly from sophisticated algorithms across various data sources.
Top 10 Data Visualization Tools for Presenting Data
1. Microsoft Power BI
Microsoft Power BI is a data visualization tool that provides interactive visualizations and the capabilities of BI with an interface simple enough for end-users to create dashboards and reports. It is also used to find penetrations within a company’s’ data. In short, it is a part of the Microsoft Power Platform that helps you to connect different data sets, and clean the information into a data model for data visualization. All this can be shared with other BI users within the organization.
As a popular data visualization tool, it offers hundreds of data visualizations to its customers including some built-in AI capabilities and Excel integration facilities. Additionally, you can support multiple systems using power BI such as live chat, FAQs, and forums. At last, we can say that Power BI focuses on creating a data-driven BI culture in all companies. And to fulfill this, it provides self-service analytics tools to identify aggregate and share data in a meaningful way.
Power BI is an intelligent business intelligence tool that can be used for cloud-based apps or other organizations to collate, manage and analyze data from different sources in a convenient way. A business intelligence platform powered with excessive information helps businesses make the right decision at the right time.
Tableau is one of the most widely used and best data visualization tools used for Business Intelligence for two major reasons: Its ease of use and incredible power. It helps you to create interactive charts and graphs in the form of a dashboard to gain business insights. You can also integrate with hundreds of sources to output dozens of visualization types and sources to import data.
Despite this, it is also used by statisticians, data analysts, scientists, etc. for visualizing data and getting a clear image of the data analysis. This tool is getting immense popularity because it offers the highest security compared to other tools and produces the required data in a short span of time.
Tableau allows its users to create, clean, and format their data to obtain actionable insights that can be easily shared with other users and scale business teams.
Products offered by Tableau:
|Key features||Other features||Operating system||License
|Tableau Desktop||Creating dashboards and stories locally||Tableau personal – limited data sources
Tableau professional – Full enterprise capabilities
|Windows, MAC||Personal – $999
Professional – $1999
|Tableau Public||A massive, public, non-commercial Tableau server||All data published in a public||–||Free|
|Tableau Online||Creating dashboards and stories on the cloud||Live connections||–||$500 per year|
|Tableau Reader||View dashboards and sheets locally||Cannot modify workbooks or connect to the server||Windows, MAC||Free|
|Tableau Server||Connect to data sources and share documents||Users can directly interact with the dashboard via browser||Windows||Core Licensing|
datapine is an all-in-one data visualization tool and business intelligence platform designed with a user-friendly interface that focuses on self-service. It offers several excellent functionalities such as intelligent data and predictive analytics that are dependent on machine learning and artificial intelligence. We can say that it is a platform to link every data source and put them in a single location.
Using powerful features of datapine such as customized reporting, a drag and drop interface, and interactive dashboards, users can easily communicate with their data and build an engaging data story. It serves as a collaborative tool that keeps every team member engaged with the data securely. We can say that it is a bridge between you and your data warehouse to many sources that include ERPs, social media, CRMs, and other business systems.
4. IBM Cognos Analytics
IBM Cognos Analytics integrates analysis, reporting, modeling, event management, and dashboards to easily understand your organizations’ data and make proper decision making. It is a web-based integrated BI suite by IBM.
After installing Cognos Analytics, administrators configure and connect data sources. It consists of various components that are specially designed to gain different information requirements in a company. It focuses on Descriptive Analytics to help users see the information in your data using self-service data exploration. You can also analyze data and share actionable insights within the organization in plain language.
In short, you can easily share data with concurrent users on the cloud and import data from various sources such as CSV files and on-premises databases. Additionally, it also provides a 30-day free trial followed by a plan Starting at $20.87 per month.
Visme is one of the best data visualization tools that offers an interactive design to represent data. It helps you to create data visualization using a set of tools such as chart templates, graph maker, and a data widget library so that you can easily create different types of visualizations. You can create an interactive design that is easy to read and understand as well as provides a stunning look. The great thing here is, you can add your visualizations to any projects that you’re currently working on.
Visme is a great tool used by businesses to create visual graphics for various reasons. It offers numerous resources to improve your design and make the best out of it in the editor.
6. Qlik Sense
Qlik Sense is one of the best data visualization tools which focuses on ease of use for the user and helps companies to become data-driven by providing a scalable multi-cloud architecture, analytics engine, an AI system that allows you to deploy the combination of private clouds.
It is a self-service data discovery that allows users to build interactive dashboards, analytics applications, and charts for offline and local usage. Using modern UI, you’ll get a set of powerful tools to manage and create visualizations and layouts.
With Qlik Sense, you can easily load, explore, and combine your data from various sources, no matter what size it is. All the graphs, tables, and data charts, and other visualizations are instantly updated according to the current data context.
7. SAP Analytics Cloud
SAP Cloud for Analytics is a SaaS and BI platform designed by SAP. It combines three machine learning algorithms to secure data, improve business management, and automate predictive analysis. Analytics Cloud is specially designed to provide all the capabilities of Analytics to users in one product.
SAP Analytics uses the capabilities of business intelligence to evaluate your data and create visualizations to predict business outcomes. They make sure to use only the latest modeling tools to resolve possible errors and categorize data measures and dimensions that lead to enhanced visualizations.
If you’re facing any doubts regarding data visualization, then SAP provides complete customer satisfaction to handle all your queries using natural language technology and machine learning.
Looker is another excellent tool for presenting data that provides extensive visualization capabilities that allows you to develop insightful visualizations. It offers a user-friendly workflow that is completely browser-based and facilitates dashboard collaboration.
It is one of the best data visualization tools to analyze data to gain useful insights regarding the same. It not only provides real-time dashboards but also makes instant decisions that are based on data visualizations. It also provides connections with BigQuery, Redshift, Snowflake, and 50+ SQL-supported idioms to integrate more than one database without any difficulties.
Despite this, you can share Looker data visualizations with anyone using any of these tools and export files in any format without any issues. It is a great tool that provides extensive customer support and answers each query in a proper manner.
Whatagraph is a data visualization tool that is perfectly suitable for digital marketers who are planning to create visual dashboards for users. It offers visual data analytics for email campaigns, social media, SEO, and PPC. It can be created using multiple integrations, ranging from Google Analytics to Google.
However, it is a great tool for social media managers as we discussed earlier who want to track the usage of social platforms for various campaigns. Additionally, you can customize reports according to your users’ requirements.
Lastly, we have Sisense on our list. It is a BI-based data visualization tool that allows data analysts to simplify complicated data and gain insights for their organization. Sisense believes that ultimately, every business will be a data-driven enterprise and every product will be connected to data in some or another way. So, it tries its best to provide various data analytics tools to make data-driven companies in the future.
You can easily configure and learn Sisense. It doesn’t take much time to install Sisense and data analytics can get their work done instantly. Its users can easily export their files in multiple formats and have full-time customer support services if they face any issues.
In this post, we discussed the top 10 data visualization tools for presenting data which makes the process of development easy. There are numerous templates available for you to choose from, ranging from graphs and charts on their own to multi-page presentations and reports. Using graphs you can create more than 20 different types of charts which can be customized and animated depending on your requirements.
Once you’ve decided to invest, you’ll quickly realize that data visualizations tools are not at all equal. These tools focus on different aspects to interact with the data and evaluate your selection carefully when it comes to capabilities and features. All your data visualizations made using the capabilities of these tools can be added to any project in the future in a few clicks.
Before you start creating your own data visualization, make sure to check each visualization tool and compare them with each other and your company requirements. Take a free trial and explore new visualizations. By doing this, you can have a clear idea about the tools and unlock new insights.
We hope you find this post useful. Before we take off, we would like to know about the data visualization tool that you’re going to use to create the visualization. Comment down!