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What is Data Visualization Software?
Data visualization software is used to convert numeric and textual data into visual tables, figures, and charts. It is also employed to create operational or system performance dashboards by bringing key data to a single interface. The software makes it simpler to recognize correlations, trends, and patterns that might go unidentified. Modern tools display data in advanced ways such as detailed fever, pie, and bar charts, heat maps, sparklines, geographic maps, dials and gauges, and infographics. These solutions play a crucial role in advanced analytics and big data projects. Business units leverage data visualization software to track their initiatives and campaigns. Start by checking our leader Zoho Analytics, and other recommended solutions in this category.
How was this ranking made?
In order to prepare this list of best Data Visualization Software we have checked 239 various systems currently present on the market, analyzing their features, ease of implementation, client servive, available integrations as well as mobile support with our exclusive SmartScoreTM rating system. This ranking has been prepared by Nestor Gilbert, our B2B expert responsible for the Data Visualization Software category.
List of Top 12 Data Visualization Software
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1. Zoho Analytics
Our score: 8.7 User satisfaction: 99%A powerful business intelligence, data analytics, and online reporting tool for creating data visualizations and generating actionable business insights. Zoho Analytics' self-service approach streamlines the data analytics process in a way that can be handled by anyone regardless of their technical skills.
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2. Sisense
Our score: 9.7 User satisfaction: 99%A leading and award-winning software for preparing, analyzing, visualizing, and organizing data for your business. Sisense brings innovative and intelligent technology designed to address inquiries directly through a single channel, as well as gather and present your data as relevant insights that you can share using interactive dashboards.
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3. Looker
Our score: 9.6 User satisfaction: 95%Looker is a data-discovery platform that provides companies real-time access to relevant data to help them make better business decisions. A browser-based application, Looker can analyze any size of data for businesses of all sizes. It also has a user-friendly interface that even inexperienced data analysts can navigate with ease.
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4. Periscope Data
Our score: 9.5 User satisfaction: 98%Periscope Data by Sisense is an advanced analytics platform where businesses can securely conduct data processing, testing, performing queries, and others. Among Periscope Data's robust features include efficient query management, data preparation, data connection and analysis, custom data visualization, multiple sharing options, data and user management, and more.
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5. Reveal
Our score: 9.4 User satisfaction: 100%Reveal enables you to analyze significant business metrics in a centralized and self-service BI platform. It delivers reports and analytics in a highly visual presentation that you can customize and embed in integrated third-party applications. Reveal's reports are also interactive and accessible in all devices along with its real-time dashboards.
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6. Tableau
Our score: 9.2 User satisfaction: 93%Tableau is a software application that provides beautiful data analytics that can help businesses make better business decisions.
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7. Microsoft Power BI
Our score: 9.1 User satisfaction: 97%Power BI is a suite of business analytics tools that analyzes data and shares insights. It enables users to monitor their business from every device and at any time.
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8. Board
Our score: 9.0 User satisfaction: 100%Board is an all-in-one business intelligence platform that combines business intelligence with performance management and data analytics. It comes both as a web-based and an on-premise platform and allows you to manage your workflows. With the software's predictive analytics, you can create plans and make adjustments to your business model and initiatives.
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9. Domo
Our score: 8.9 User satisfaction: 94%Domo is a software product that provides the information you care about in one place and use it to make faster, better‑informed decisions.
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10. DbVisualizer
Our score: 8.7 User satisfaction: 96%DbVisualizer is a feature-rich database management tool for consolidating and visualizing information from across multiple database applications. Developers and analysts can manage multiple databases and configure tables with the software's drag-and-drop interface. Moreover, the platform is equipped with an advanced SQL editor that lets users write, test, and execute queries, as well as strong security features.
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11. Gephi
Our score: 8.7 User satisfaction: N/AA robust, open-source visualization and exploration platform for scientists and data analysts.
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12. Cumul.io
Our score: 8.0 User satisfaction: N/AA data unification and visualization tool that lets you build powerful dashboards in minutes.
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Table of contents
Industry Report - Data Visualization Software for 2022
CloudRank™ system is a unique algorithm that our research team uses to evaluate Data Visualization Software solutions in a detailed and accurate way. The Winter 2022 edition of the ranking was prepared by Nestor Gilbert, our leading expert in the field of Data Visualization Software, who has authored 1380+ product reviews in this category. The goal of CloudRank™ is to present an unbiased, multi-layered perspective on Data Visualization Software, considering a wide range of metrics and factors, and educating potential customers about both opportunities and challenges associated with each piece of software.
In order to achieve full objectivity the position in our CloudRank™ is based on:
- Expert Score: which involves extensive analysis by our internal team which carefully examined all key elements of each software and testing it in real-life situations
- User Score: which involves an aggregated opinion of actual users of each product whose identity was properly verified
- Market Position: which involves general recognition of a given vendor on the market and reflects its overall popularity and reach
What do the tiers in CloudRank™ mean?
We’ve calculated a score for each product based on the average experience shared by our users in their product reviews and arranged the list in three tiers. You can see the methodology below on how the calculations were made.
- Leaders: those with a User Score of 8 or higher; this tier includes products that are currently leaders on the market and are appreciated by both experts and actual users. They always represent the best of what the Data Visualization Software market has to offer and are all worth trying out if you’re looking for a reliable solution.
- Contenders: those with a User Score between 7 and 8; this tier includes high-quality products that still have some minor drawbacks that prevent them from becoming leaders on the market. They always represent well-designed tools that, over time, will most likely develop into market leaders as the missing features are added.
- Rising Stars: those with a User Score between 6 and 7; this tier includes products that have high-potential but still lack some crucial features or services expected from a leading solution. They are products with solid foundations and a vision that makes us eager to see what they will become as their solution improves in the future.
Regardless of their tier, all products included in our CloudRank™ are popular, quality products considered top-performers by our team of experts. Make sure you read a more detailed review of each solution to find one that will work best for your specific needs and budget.
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MARKET POSITION
A score between 1 and 10 based on popularity and market reach of each product.
TOTAL score
A score between 1 and 10 based on the average of our Expert Score and User Score.
How does CloudRank™ work?
Market Position
A score between 1 and 10 based on popularity and market reach of each product.
Total Score
A score between 1 and 10 based on the average of our Expert Score and User Score.
CloudRank™ tier
Based on product's total score.
Rising Star
Contender
Front Runners
25 Most Popular Data Visualization Software
Here is a list of all 25 Data Visualization Software solutions evaluated with our CloudRank™ analysis. We have compared their features, user satisfaction, market presence and other key factors in an in-depth analysis you can find below:
1. SAP Analytics Cloud
8.53
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Score:8.53
Score:8.53
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Score:8.44
Score:8.44
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Score:8.37
Score:8.37
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4. Zoho Analytics
8.34
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Score:8.34
Score:8.34
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Score:8.19
Score:8.19
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Score:8.17
Score:8.17
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7. Microsoft Power BI
8.14
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Score:8.14
Score:8.14
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8. InsightSquared
7.98
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Score:7.98
Score:7.98
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Score:7.95
Score:7.95
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Score:7.75
Score:7.75
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11. Google Chart Tools
7.70
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Score:7.70
Score:7.70
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Score:7.62
Score:7.62
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Score:7.55
Score:7.55
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14. SAS Business Intelligence
7.50
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Score:7.50
Score:7.50
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Score:7.48
Score:7.48
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16. Wolfram Mathematica
7.30
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Score:7.30
Score:7.30
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17. Sisense for Cloud Data Teams
7.25
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Score:7.25
Score:7.25
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18. Anaconda Enterprise
7.24
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Score:7.24
Score:7.24
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Score:7.20
Score:7.20
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Score:7.13
Score:7.13
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Score:7.04
Score:7.04
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Score:7.03
Score:7.03
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23. SAP Crystal Reports
7.03
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Score:7.03
Score:7.03
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Score:6.87
Score:6.87
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25. FusionCharts
6.73
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Score:6.73
Score:6.73
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Our report covered 25 most popular products from the Data Visualization Software category. We’ve analyzed their features, performance, integration, customer support, pricing, and several other key buying factors and combined it with feedback from user reviews to come up with the current list of best solutions:
- 2022 Data Visualization Software Leaders: SAP Analytics Cloud, Sisense, Looker, Zoho Analytics, Grow.com, Domo, Microsoft Power BI, InsightSquared
- 2022 Data Visualization Software Contenders: Tableau, Oracle BI, Google Chart Tools, QlikView, Kibana, SAS Business Intelligence, Visme, Wolfram Mathematica, Sisense for Cloud Data Teams, Anaconda Enterprise, Plotly, PLECTO, Reveal, GoodData, AnyChart
- 2022 Data Visualization Software Rising Stars: SAP Crystal Reports, FusionCharts
SAP Analytics Cloud ranks as the top product for Data Visualization Software CloudRank 2022. The software provides enterprise platform services that seamlessly blend cloud and on-premise data sources. Data is explored and visualized into dashboards that deliver actionable insights across the enterprise. Insights are automatically received with embedded machine learning technology to reveal what really drives your business.
SAP Analytics Clouds helps to unify plans across departments. The analytics and visualization tool creates detailed reports that your team can use for further interactive analysis and planning but are simple enough to share with other colleagues without having to do a lot of explanation. The BI and analytics tool works for all business sizes but is particularly useful to enterprise businesses as it can handle larger volumes of data.
SAP Analytics Cloud comes with its own ecosystem and has teamed up with over 18,000 tools and services to help you win more customers and revenue. With 50 years of experience providing enterprise solutions to 440,000 globally, SAP has earned the trust of 200 million cloud users and counts Callaway Golf, Penn Foster, and the National Hockey League among its customers.
Most users of Data Visualization Software solutions confirm that in most cases these tools allow them to reach the following business goals:
- It assists in better comprehension of business and operational activities. [ 85.1% of users ]
- It enables us to quickly identify trends. [ 86.0% of users ]
- It helps us to accurately analyze customer sentiment. [ 84.0% of users ]
- It improves our understanding of business info. [ 85.3% of users ]
- It provides fast access to pertinent business insights. [ 85.2% of users ]
How did we select products for this Data Visualization Software report?
The Winter 2022 version of the report includes a total of 25 Data Visualization Software products that were compared and analyzed by our team. We selected them based on the following factors:
- Popularity of a given brand in the SaaS market (based on our own market research)
- How popular a given brand is among FinancesOnline users (based on number of mothly readers for each review page)
- Availability of statistical data generated from user reviews of a particular product (we excluded products with not enough data to draw meaningful conclusions)
- The current listing reflects the state of our database and research as of February 2022. An updated version of the report will be released quarterly to keep data fresh and incorporate information about shifts and changing trends in the market.
What are the current Data Visualization Software trends?
Data visualization beyond graphs and charts
Humans process data better when presented visually and in smaller cohesive groupings. Although graphs and charts are fundamental to visualizing data, business intelligence and data visualization tools offer other tools that produce more meaningful insights to empower profitable decision making. Artificial intelligence simplifies looking for the information you need, reducing the work hours used sifting through huge streams of data, eliminating costly mistakes, and producing results for queries and suggestions for other information your business might need related to your search.
McKinsey
Real-time analytics or streaming analytics
The efficient use of data visualization has been shown to decrease meetings by 24%. Time saved and better spent turning insight into actions. Real-time visualizations accelerate the decision-making process and anticipates and mitigates risks before they could occur. Data flows without complex analytical tasks work best with real-time analytics or streaming analytics. It uses simple calculations to process huge streams of continually updating data; and is often used for fleet operations, healthcare, and finance. The Johns Hopkins COVID-19 dashboard is an example of real-time analytics showing spikes in transmission infection heatmaps, and locations where the curve is flattening or increasing.
Data as an actual product and not a byproduct
The amount of data captured by IoT and similar devices doubles every three years adding to the glut of available data. In the early 2010s, data scientists worked mostly with data pulled from other sources, data as a byproduct, currently, their roles have grown to creating and curating datasets from public and internal datasets, data as a product. Data as a product makes continuous intelligence a possibility with a cycle of Data > Information > Insights > Decision > Action and looping back to more data with the cycle starting again.
Data visualization software is used to visually portray data which helps to easily detect trends and patterns, and track the effectiveness of campaigns. There are a number of quality tools in this category which makes it difficult to do knowledgeable comparisons to select the best data visualization software for your needs. We make your work easier with this guide which tells you the important features and factors that mark the best data visualization software from the not-so-good programs.
Get to know each product with free trial
A fine way to begin your quest is to sign up for the free trial or demo of popular platforms. Leading data visualization software providers present this convenience to help you try out their application’s features before you invest any money. This also gives you a chance to do an informed comparison with other tools. You can check out Microsoft Power BI, Zoho Reports, Tableau, Domo, and Chartio as they have been given impressive ratings and rankings in our data visualization software reviews.
Targeted Businesses
Small, medium-sized, and large enterprises can utilize data visualization software to get insights on their sales, marketing, customer support and other initiatives.
Examples of Data Visualization Software
- Microsoft Power BI: A suite of business analytics solutions designed to help companies analyze data and share insights systematically. It converts your business data into understandable and attractive visuals which makes it easy for you to gather insights and devise effective strategies. Plus, you can spot trends as they happen and take advantage of them. Use the comprehensive and robust dashboards to derive answers and track your business.
- Zoho Reports: A business intelligence (BI) platform that helps companies learn from and utilize their business data. It offers powerful analytics and reporting tools that provide useful insights to enterprises. You can generate robust reports quickly and easily without IT assistance. The report creation options include dashboards, summary views, tabular views, pivot tables, and charts.
- Tableau: Another BI software that enables companies to visualize and comprehend their data. You can swiftly connect, visualize, and share data with a seamless experience on all devices from the desktop computer to the iPad. Plus, you can create, publish and share dashboards with your colleagues, partners, and customers without the need for coding expertise.
- Domo: A BI solution that provides a wide data set and connector support as well as unique social collaboration features. This reliable and powerful cloud-hosted system enables enterprises to find effective solutions to common business challenges. Decision makers can view real-time data on a single dashboard. The dashboard widgets are very helpful as they incorporate creative data displays such as trend indicators, sparklines, and multi-part widgets.
- Chartio: A simple yet powerful BI application that is easy to set up and use. It enables companies to analyze their business data in real time. With this software, you can easily build attractive dashboards and visualizations, and share them with your colleagues and customers. Key features include quick visualizations, funnel visualizations, drill down and pivots, drag-and-drop interface, and chart creation on tablets and phones.
Types of Data Visualization Software
Data visualization software is related to the following categories:
- Dashboard software
- Data mining software
- Mobile business intelligence software
- Predictive analytics software
Key Features of Data Visualization Software
- Basic visualizations. You can choose from a range of chart types and visuals such as fever charts, heat maps, infographics etc.
- Import/export. Easily import data from Excel and other files, export visualizations to various formats, and embed them in website pages.
- Sharing data visualization. Effortlessly share visualizations with external and internal parties.
- Data/event alerts. These alerts inform users when certain events happen or when data is updated.
- Interactive features. These include drill-down and drag-and-drop functionality and more.
Benefits of Data Visualization Software
- Accurate analysis of customer sentiment. Data visualization software provides enterprises deep insight into customer sentiment and behavior which they can utilize to identify new business opportunities and launch fresh products and services to stay ahead of competitors.
- Quick identification of trends. The platform enables decision makers to swiftly understand changes in market conditions and consumer behaviors across multiple data sets.
- Better comprehension of business and operational activities. You can effectively view links as they happen between the operating environment and business performance. For instance, company leadership can learn about the first-contact resolution rates of their call center which has a big impact on customer satisfaction.
- Fast access to pertinent business insights. A recent study reveals that business managers who use visual data discovery apps are 28% more likely to find timely info compared to those who depend only on managed dashboards and reporting. In addition, 48% of BI users who utilize visual data discovery tools do not need IT assistance to find the info they need.
- Improved understanding of business info. It is easier to understand data and info that is presented as images and visuals compared to numerical figures and texts. Data visualization tools use rich graphical representations such as fever charts, heat maps and others to enable decision makers to easily view links between multi-dimensional data sets and get insights on their business and operational conditions.
Latest Trends
Self-service visualizations. Modern enterprises are increasingly using analytics to gain data insights. Though there is a rise in demand for data scientists, companies don’t necessarily need to hire them thanks to self-service BI tools such as Google’s Data Studio, DataVizProject.com, Slemma and others that are converting analytics from a specialized skill into an activity that can be easily done even by lay users.
Social visualizations. Social data visualizations are increasing engagement among followers. Social media users typically have a low attention span. So you should make your data presentations visually attractive and appealing by including fun elements such as looping animations and GIFs.
Potential Issues
High cost. Top-end data visualization software platforms can be expensive for many small to medium-sized businesses. In addition to the license costs, they need to shell out for deployment, maintenance, implementation, and employee training. Therefore, only large enterprises are likely to invest in elite data visualization tools.
Extensive user training. More complex data visualization software have a steep learning curve as non-analyst users need comprehensive training to make maximum use of the program’s full range of capabilities. The learning and development period could take weeks or months which significantly raises the cost of ownership.
List of Data Visualization Software Companies
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Things to consider when you invest in a SaaS
To select a suitable SaaS vendor you need to consider important criteria such as privacy and security, support and service, and transparency.
Find out if the vendor can be trusted with data security and privacy. Do they have systems in place to safeguard your confidential information and data? Find about the security procedures they use. This is an important element of a SaaS system that cannot be over-emphasized.
It is crucial that the vendor provides reliable support to resolve any issues quickly. Ask your potential providers the following questions: Do they offer consulting and training services to assist your employees to utilize the solution competently? Do they have an online support center that has helpful articles and training resources? What channels of support do they provide? Do they monitor issues till they are resolved? Is customer satisfaction measured?
Does the SaaS provider conduct their business in a transparent and open manner? You can find out by asking them for references you can contact. Talk to existing users of the solution to know about the quality of service offered. Does the vendor make public the algorithms they use in the platform? Ask these queries to find a SaaS provider whom you can trust with your confidential customer and business data.
Frequently asked questions about Data Visualization Software
What is the best data visualization software?
The best data visualization software in the market is Sisense; a powerful business analytics solution for all types of companies, from startups to established enterprises. Boasting a set of robust analytic tools, the platform enables you to curate, analyze, and visualize big data.
Part of the reason why Sisense edges out the competition is its ease of use. With its simple drag-and-drop interface, the solution allows you to create visualizations on data sets. All you need to do is to select or upload a data set, select the chart type, pick relevant data fields, and drag and drop the values into appropriate fields.
It’s simple and doesn’t need SQL to accomplish. The platform eliminates the technical hurdle in data visualization, allowing you to go from scattered data to intuitive dashboards in minutes. Beyond simplicity, Sisense cuts costs. It allows you to unearth insights from complex data at a fraction of the cost of legacy business intelligence (BI) tools.
What are the benefits of data visualization software?
With the right data visualization software in place, your business can leverage big data and reap multiple benefits. Some of the key benefits include:
Easy access to actionable business insights. Data visualization software enables decision-makers to unearth actionable business insights anytime, anywhere. With their robust data discovery and visualization tools, businesses can access the data they need more efficiently than their counterparts who use traditional reporting tools and simple dashboards.
More productive communication of findings. Legacy reporting tools usually inundate decision-makers with data presented in multiple statistics tables and charts. More often than not, the important information slip through the cracks and fail to get the attention of the right people. On the contrary, modern data visualization tools create reports that present vital information to make it vibrant and conspicuous to decision-makers.
Accelerated discovery of the latest industry trends. Data visualization software allows decision-makers to rigorously explore volumes of raw data (about customer behavior, market conditions, and more) to mine insights into potential business opportunities.
Improved revenue through predictive sales analysis. The good thing about data visualization tools is that they provide decision-makers with real-time information. Whether the data is culled from different sources, the platforms can be used to aggregate data and perform advanced predictive analysis for business aspects such as sales or marketing. In doing so, they help improve the said business aspects, thus bolstering revenue generation.
What are the features of data visualization software?
Data visualization software can unlock the value of data gathered from different sources in an enterprise. To deliver the best results, however, these solutions should provide powerful tools to build out the infrastructure for harnessing and aggregating data. The software also ought to streamline the process of discovering and sharing insights.
The following are some of the key features and capabilities that you should consider when buying a data visualization system:
Visual discovery. A useful feature that enables you to discover sequences, patterns, and outliers hidden in raw data. With the visual discovery tool, you don’t need to create data models to promptly see inferences from data analysis.
Visual analytics. The feature allows you to analyze large volumes of data using robust interactive visual interfaces.
Visual pivoting. Data scientists and decision-makers often use pivot tables for big data. With visual pivoting, users can summarize data from extensive tables and string them together in a way that’s meaningful and easy-to-understand.
Real-time collaboration. This capability allows team members to have a meaningful conversation about data discoveries. It enables decision-makers to collaborate in real-time and discuss insights, rather than sending screenshots and static files to one another.
Email reporting. Data visualization software also allows you to create schedules and have visual statistical reports delivered to your email inbox.
Mobile support. With mobile support, you can access relevant information and data visualizations anytime, anywhere. This feature is important, especially if you’re regularly on the move and want to view data and make decisions outside the work environment.
What is the easiest data visualization software to use?
There is no doubt, data visualization software makes analysis and presentation of data a whole lot easier for analysts and decision-makers. But to ensure you’re getting the best out of the software, it should be intuitive and easy to use. Here are three data visualization software that offers powerful yet easy-to-use features:
Sisense. This data visualization software allows you to perform data discovery through an intuitive, drag-and-drop interface. No need for SQL. Everything from creating new exploration to building charts is simplified to expedite the entire process. In addition, Sisense allows you to customize dashboard layouts by dragging widgets on top of another.
Looker. This data discovery application makes it super easy to collect, analyze, and visualize data. It provides a variety of easy-to-use graphs and charts to choose from to create and customize interactive visualizations. Moreover, it can generate fully customizable and exportable reports. As such, users can easily share their analyses with their supervisors, colleagues, or stakeholders. What’s more, with this platform, users don’t need to have SQL knowledge as it uses a self-intuitive code.
Highcharts. This interactive JavaScript charting API is among the easiest data visualization software around for its easy configuration options that do not require extensive programming experience. Thanks to its user-friendly interface, the solution allows you to create virtually any type of interactive chart, from error bars and column charts to bar charts and box plots, this can be used for all types of data visualization. What’s more, it requires no installation as it is completely browser-based, making it easy to set up and use.
What is a good free data visualization software?
Here are some of the best free data visualization software:
Tableau. This enterprise-grade data visualization software may be known for its premium functionalities. However, this product also offers a free version—Tableau Public, a totally free, easy-to-use data visualization for non-commercial users. The solution provides a huge swath of maps, charts, and graphs to help users visualize and publish data on topics that matter to them. In this way, it is easier to explore data without the hefty pricetag.
Microsoft Power BI Desktop. Coming from one of the most popular software providers worldwide, this platform offers top-notch business intelligence and data visualization options. The software offers a free plan that comes equipped with data exploration, preparation, and cleaning options. Moreover, it allows users to create custom visualizations and publish them to the Power BI service. The only downside is that this free plan is only available for single users. As such, it may not be ideal for mid-sized to large teams.
Highcharts. Highcharts is an intuitive yet simple browser-based data charting API solution. It offers a free version primarily for personal use, non-profit organizations, and school projects. With this, users get access to a wide selection of chart types, import and export data with ease, and even analyze data on-the-go with its mobile compatibility. For those looking to perform more advanced data visualization processes, the platform can also be easily upgraded to paid versions.
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