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Data Visualization Software

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Toucan logo
4.7
(35)

Engage your customers with data storytelling.

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Toucan is a customer-facing analytics platform that empowers organizations to drive engagement with the best end-user experience. From data connections to the distribution of insights anywhere they're needed, Toucan makes it easy.

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Logi Symphony logo
4.5
(258)

Platform for creating rich, embedded analytics applications.

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Logi Symphony is an embedded business intelligence (BI) and analytics application/framework. It is purpose-built for the embedded use case to allow direct integration of dashboards and reports for ISVs and OEM applications.

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Splunk Enterprise logo
4.6
(223)

Machine data management and analytics

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Splunk Enterprise is a cloud-based platform designed to assist businesses with big data management and analysis of machine data. Key features include data visualization, performance metrics, data collection, real-time search, indexing, KPI tracking, reporting, and monitoring.

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Grow logo
4.5
(379)

Make data-driven decisions.

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Grow is a no code, full-stack BI that makes it simple for companies to connect their data and surface insights to empower your team to make data-driven decisions.

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Supermetrics logo
4.4
(102)

All your marketing data, wherever you need it.

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All your marketing data, wherever you need it. Supermetrics streamlines the delivery of data from 80+ sales and marketing platforms into the analytics and reporting tools marketers use to make better decisions.

Supermetrics is used by +700k marketers in over 120 countries.

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TapClicks logo
4.3
(175)

A Unified Marketing Operations Platform Powered By Your Data

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TapClicks delivers a unified digital marketing services, reporting, and analytics platform built for marketing agencies, media agencies, and enterprises

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BrandMap logo
(0)

Mathematical software for designing presentation-ready maps

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BrandMap is an on-premise mathematical software designed to help businesses create and analyze multidimensional preference, biplots, and multiple correspondence analysis (MCA) maps. Professionals can create customizable quadrant, radar, bubble, and regression charts by importing data from other applications in Excel or CSV formats or entering data matrices manually using copy and paste functionality.

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Whatagraph logo
4.4
(83)

All-in-one marketing data platform for agencies and teams.

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One-stop marketing data platform for agencies and in-house teams. Connect all your digital marketing sources, blend, unify, and aggregate data points before you visualize the marketing data in detailed reports, and automate sharing via emails or live links.

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Qrvey logo
4.8
(4)

Cloud-based embedded analytics & data visualization platform

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Qrvey empowers SaaS providers to offer powerful data visualizations and dashboards, providing rich analytics experiences to their users

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erwin Data Intelligence logo
(0)

Data catalog, discovery, governance, and quality solution

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erwin Data Intelligence is a data catalog solution that helps enterprises discover, analyze, govern, and share data. Key features include data mapping, reporting, metadata harvesting, and glossary management.

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Faros AI logo
(0)

Engineering operations management platform

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Faros AI connects the dots between various engineering data sources like ticketing, source control, CI/CD, and more, giving unprecedented visibility and insight into your engineering processes.

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Minitab logo
4.4
(308)

Visualize, analyze, and harness the power of your data.

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Minitab is a statistical and data analytics software, which helps organizations predict, visualize, and analyze business data to forecast patterns, discover trends, view relationships between variables, and more. The built-in assistant lets users manage data analysis and interpretation operations.

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Vizlib logo
4.6
(12)

Unleash the full power of Qlik Sense and Qlik Cloud

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Vizlib is a data analysis software designed to help businesses across many different industries streamline visual analytics and collaboration operations.

Make your data talk in Qlik Sense with interactive visualizations, self-service analytics, and game-changing writeback capabilities.

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Power ON logo
(0)

Supercharge Power BI with Planning and Write-back

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You already have Power BI, so why force your business users to learn or use new tools? Power ON allows you to go beyond analysis in Power BI to plan, forecast, and collaborate in real time, enabling self-service write-back directly within the tool your team is already familiar with.

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DISQOVER logo
(0)

Life sciences knowledge discovery platform

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DISQOVER is a knowledge discovery platform developed for the life sciences industry. Using knowledge graph and semantic technologies, DISQOVER integrates siloed data to support organizations in accelerating their drug development activities.

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Zoho Analytics logo
4.4
(298)

Self-service BI and Analytics platform

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Zoho Analytics is an online reporting and business intelligence tool that helps you easily analyze your business data, and create insightful reports, dashboard

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firmTRAK logo
(0)

Complex Data. Clear Solutions, firmTRAK Solutions

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Fully integrated data visualization dashboard for law firms that use CLIO or Practice Panther.

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Informer logo
4.8
(57)

Business analytics system for education & insurance sectors

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Informer is a business analytics software designed to help organizations in the education, manufacturing, insurance, and other sectors extract structured or unstructured data from multiple sources including business applications, databases, spreadsheets, and more.

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TeamMate Analytics logo
4.3
(6)

Data analytics platform for auditors

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TeamMate Analytics is an on-premise data analytics platform, designed to help auditors import data of different file formats and monitor, identify, and mitigate potential risks. It allows professionals to streamline the audit workflow from planning, testing to reporting.

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Ingentis org.manager logo
4.7
(54)

People and Organizational Analytics

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A leading software solution for people and organizational analytics. It is already used by over 2,000 renowned corporations worldwide and ensures transparency and clarity by automatically and demand-oriented visualizing HR and organizational data from virtually any data source.

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FS.Net logo
4.0
(1)

Companion reporting application to FSWorks, a SPC & OEE tool

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FS.Net is a companion web application to FSWorks. FS.Net is a tool which can manage a fleet of FSWorks stations. Each workstation sends data up to the application's database. Once the data is collected, FS.Net uses its modules to chart and report the data as granularly or as broadly as needed.

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OriginPro logo
4.8
(195)

Cloud-based data analysis and graphing software

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OriginPro is a cloud-based data analysis and graphing software that provides a complete set of data exploration, peak fitting, and surface fitting analysis tools for businesses across multiple sectors, including academic institutions, government organizations, and non-profits.

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Planful logo
4.2
(46)

The FP&A Platform for Continuous Planning

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Cloud-based Financial Planning and Analysis (FP&A) software providing numerous tools to help with financial planning, modeling, and reporting.

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Canva logo
4.7
(11.7K)

Graphic design & video editing tool for web and print

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Graphic design and video editing tool for creating and publishing marketing material, presentations, social media content, and a range of printed products, using a drag-and-drop editor and a library of customizable templates.

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Google Analytics 360 logo
4.7
(7.9K)

Enterprise-class web analytics

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Enterprise-level analytics platform for marketers, BI staff, and online businesses to gain insights into customer website interactions.

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Buyers Guide

Data Visualization

What is data visualization software?

Data visualization software presents complex data in easy-to-understand graphical formats, such as pie charts, graphs, and maps. The software simplifies interpretation for data analysts and decision-makers within businesses and helps them analyze large data volumes without using specialized statistical skills. With this tool, businesses can identify patterns, trends, and insights more effectively. 

Data visualization tool can be used by businesses across various industries, including business intelligence, marketing, advertising, and finance to effectively identify patterns, trends, and insights. It aids decision-making and facilitates communication of data insights to stakeholders, leading to improved profitability and business outcomes.

What are the core features of data visualization software?

  • Customizable dashboard: Create a personalized visual interface that can be customized to meet your needs. The software allows individuals to select which information is most relevant for them and how it is presented. You can use the tool’s critical performance indicators to derive quick insights for better decision-making.

  • Data management: Import, organize, store, and analyze large data sets with increased accuracy. With data management features, the software allows users to connect with multiple sources, such as spreadsheets, databases, and text files, to obtain real-time information. Data management features may assist you to remove duplicate entries and maintain data integrity by organizing data sets.

  • Reporting and analytics: Visualize raw data using easy-to-understand formats, such as interactive charts, graphs, and maps. With this feature, users can showcase data in various visual formats to create comprehensive reports. Reporting feature in data visualization software typically includes data aggregation, visualization options, customization, and collaboration functionalities.

What are the benefits of using data visualization software?

  • Simplifies big data analysis: Data visualization software translates raw, complex data into easily understandable visual formats, such as graphs and charts. It presents data in a visually appealing and intuitive manner that helps users understand large data sets and draw effective analyses. Many data visualization tools also allow users to apply filters and drill down into specific data points, enabling deeper analysis.

  • Facilitates easier data interpretation: Data visualization platforms provide in-depth context to data by presenting it in a meaningful manner. For example, a line chart can be used to display trends, whereas a bar chart is best suited for comparison between different data sets. The tool’s visualization options, such as pie charts, bar diagrams, scatter plots, heatmaps, bubble charts, and histograms, allow users to explore data dynamically, focus on specific data subsets or filter out irrelevant data. 

  • Enhances decision-making process: Data visualization tools enable visual representation of complex data, making the information more accessible for decision-makers. It allows users to quickly identify patterns, trends, and relationships between disparate data sets, providing them with useful insights for decision-making. These tools typically offer real-time updates, enabling users to stay informed about changing trends and make timely decisions.

What are the potential issues with data visualization software?

  • Misinterpretation of data: A potential issue with data visualization software is the misinterpretation of data, which might lead to incorrect or misleading conclusions. This issue can occur due to various factors, such as poor choice of visualizations, wrong labels, or scaling manipulation. If visualizations aren’t designed properly, users might draw wrong inferences, which can impact business performance negatively.

  • Limited customization options: Limited customization options, such as limited chart types, fixed layouts, and limited data source options in data visualization software, can be a significant issue. This could restrict users from customizing or tailoring the visualization as per their specific needs, leading to ineffective communication or misinterpretation of information. This limitation restricts the ability of users to accurately portray and interpret complex data sets, undermining decision-making processes based on these visuals.

  • Poor scalability: Poor scalability can be another potential issue with data visualization software. As the volume of data increases, some software solutions may struggle to cope with the increased computational demands, causing task delays and hindering user productivity. The software may freeze or crash while attempting to visualize extensive data sets, hindering real-time decision-making.

How much does data visualization software cost?

Most data visualization software products on the market are priced on a “per month” basis, and their entry-level pricing plan ranges from $5 to $500* per month. An enterprise product that’s priced higher may include additional data visualization features, such as customizable branding, relational display, advanced chart types, location intelligence, and priority data support.

*The pricing included is for the entry-level/lowest-priced offerings found on vendor websites as of August 03, 2023.

What is data visualization software used for?

Data visualization software is majorly used to transform raw data into meaningful graphical representations to facilitate analysis and decision-making. However, this software can have multiple use cases. Some of these are:

  • Report generation: Data analysts can leverage data visualization software to create comprehensive and visually appealing reports to summarize and present data insights in an understandable format. Users can also personalize the layout, design, and content of these reports to suit their specific needs and preferences. 

  • Marketing data analysis: Data visualization tools can effectively examine and interpret marketing data. The system allows marketers to create charts, graphs, and other visualizations to gain insights into customer behavior and campaign metrics, such as website traffic, conversion rates, customer churn rates, and social media engagement. 

  • Team project management: Data visualization software can play an important role in team project management. The platform provides clear and visual representations of project data, progress, and performance that allow project managers to identify areas of concern, allocate resources, and plan their steps accordingly. The software's ability to model business processes and strategies contributes to improved project outcomes.

Which software tools integrate with data visualization software?

Data visualization tools integrate with various tools that enhance their functionality and data connectivity options. We looked across thousands of reviews from users of data visualization software to identify the products that users frequently mention integrated with their data visualization tools:

  • Microsoft Excel is a spreadsheet program created by Microsoft that allows users to organize, format, and calculate data using a spreadsheet. Data analysts can leverage Excel to easily extract and process data before visualizing it.

  • Google Sheets is a spreadsheet application included as a part of Google Suite. It can be used to create, update, and modify spreadsheets and share real-time data with other users online. Integrating Google Sheets with data visualization simplifies the process of importing data from Sheets, enabling users to quickly access and work with their spreadsheet data. 

  • Facebook is a social networking platform that enables users to connect and share information, such as text posts, images, and videos, with friends and family. When integrated with data visualization software, the platform helps users analyze and visualize social media data, including post engagement and user interactions on Facebook.

  • Salesforce is a customer relationship management (CRM) software that helps marketing, sales, commerce, service, and IT teams within businesses to connect with their prospects and customers. Users can leverage Salesforce integration to gain valuable insights (performance metrics, sale data, customer behavior, revenue trends) from their CRM data. 

  • WordPress is an open-source content management system (CMS) that helps users create a professional-looking website or blog without prior programming knowledge. WordPress’s integration enables websites to present data-driven content and insights to users, increasing user engagement and understanding. 

*We identified these integrations mentioned most often in verified reviews of data visualization software published on GetApp within the past two years.

Considerations when purchasing data visualization software

  • Evaluate the software’s data handling capacity: It is important to assess the software's data handling capacity while evaluating potential data visualization solutions. It will help you understand the volume and complexity of data the software can process effectively. If you're dealing with large data sets, prefer software with a high capacity for processing and visualizing real-time information to derive prompt insights. 

  • Consider the visualization options: Data visualization software should offer a variety of visualization formats, such as charts, graphs, pie diagrams, heatmaps, and histograms, to represent data in multiple ways. Varied visualization options help analysts interpret complex data sets quickly and effectively. Having multiple options to choose from will help users present their findings appropriately.

  • Assess integration with current data sources: Data visualization tool should integrate with your existing data sources, such as databases, spreadsheets, social media, and application programming interfaces (APIs) for seamless information flow. This ensures the system can easily extract, transform and load data from various points without manual intervention or extra steps. It simplifies processes, improves efficiency, and provides real-time insights into visualized data.


Sources

Products evaluated for the pricing calculation were taken from GetApp’s data visualization software directory. The pricing ranges exclude freemium versions of the products. The features highlighted were identified based on their relevance and the percentage of products in GetApp’s directory that offer them. 

Disclaimer

This data visualization software buyers guide was authored by GetApp's content team. We develop our guides using the author’s expertise, insights from 2M+ unique user reviews, and our proprietary data science algorithms to identify trends in user sentiment, preferences, and priorities. Some text was generated with assistance from artificial intelligence tools.