Data visualization has become one of the most critical skills companies require to generate insightful reports. Visualizing data with the help of a programming language can take a lot of time, so organizations prefer to use data visualization tools to achieve fast and efficient results.

Enterprise data visualization tools can enable you to visualize large-scale data without any prior technical experience. This article will highlight the top enterprise data visualization tools for creating compelling visualizations.

What is Data Visualization?

Data visualization is the technique of expressing data in a spatial format so that you can visually analyze it without any technical jargon. Numerical data can be confusing and time-consuming to understand, as a large number of data points may not provide a significant representation of something important. Therefore, representing data in a graphical format can enable you to analyze and extract valuable information quickly.

Proper data visualization techniques can help you make more informed decisions, gain insights from your on-premise data, and eventually grow your business. The next section will help you better understand the importance of data visualization.

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Why is Data Visualization Important?

Due to their raw nature, any company’s data assets can be complex to understand. Here are a few points demonstrating why data visualization is important for an organization.

  • Converting raw data into charts, maps, or any other visual representation can help you better understand the underlying patterns.
  • Trends and anomalies usually overlooked in numeric format become more easily identified when the data is present visually.
  • Data visualization can help a wider audience understand the patterns in data. Even people without strong analytical skills can understand what the data represents. This can improve the overall data-driven decision-making of different departments of any organization.
  • The growing need for professionals who can translate data into a storytelling format demonstrates the importance of data visualization.

Let’s examine some of the most prominent data visualization tools.

Top Enterprise Data Visualization Tools

If you already have technical abilities and understand programming, you can use Plotly, Matplotlib, and Seaborn as enterprise platform BI tool for data visualization Python. This section highlights the top enterprise platform BI tool for data visualization that you can use to analyze your data effectively.

Enterprise Data Visualization Tools: Microsoft Power BI

G2 Rating: 4.5

Power BI is Microsoft’s business intelligence tool that enables you to represent complex datasets in charts, graphs, and other easy-to-understand formats. There are multiple benefits of using Power BI as a data visualization software. To know more about how to create dashboards in PowerBI, refer to create PowerBI dashboards.

Who Should Use Power BI?

Power BI is a useful tool for organizations that use large amounts of Excel sheets. It is often beneficial to use Power BI if the company’s responsibilities function within Microsoft’s ecosystem.

It is not the most accessible tool to set up and maintain. Therefore, smaller organizations should consider other tools. Although Power BI requires maintenance, it is flexible to an organization’s specific requirements.

Here are some of the pros and cons of using Microsoft Power BI:

Pros

  • Power BI is a versatile application that enables you to connect it with various data sources and applications.
  • Power BI provides high-level security measures to protect your data.
  • Power BI can generate customized reports that meet your needs.

Cons

  • It has a steep learning curve and might require expertise to set it up and use it efficiently.
  • If you make a mistake while visualizing data, performing analytics on Power BI can take a lot of your time.

Pricing

Multiple plans, ranging from free to paid subscriptions, are available. These include:

  • Microsoft Fabric Free plan for a single user.
  • Power BI Pro for $10 per user per month, and
  • Power BI Premium is $20 per user per month.

Enterprise Data Visualization Tools: Tableau

G2 Rating: 4.4

Tableau is among the top enterprise data visualization tools. Its user-friendly interface allows data integration from multiple sources and generates captivating visualizations. It offers various products, including desktop, server, and web-hosted versions, catering to your needs.

You can connect customer relationship management (CRM) software with Tableau to better understand your business users’ behavior. Tableau offers a publicly available version that allows you to learn the basics of data visualization at no cost. It can enable you to perform advanced analytical functions. To learn more, refer to advanced analytics in Tableau.

Who Should Use Tableau?

Tableau is a valuable tool for data scientists who want to create custom dashboards, dynamic charts, and compelling visualizations. However, it lacks the flexibility of Power BI, so only a few professionals in an organization can fully leverage its power.

Here are some of the pros and cons of using Tableau:

Pros

  • Tableau is an easy-to-learn tool, especially for non-technical users.
  • Tableau allows you to view reports and create dashboards on your mobile. However, to enjoy more features, it is better to create dashboards on desktops.
  • Tableau can efficiently handle and analyze large amounts of data, creating effective visuals.

Cons

  • Tableau is an expensive software, particularly for larger organizations.
  • Tableau Server and Cloud can allow you to share and refresh dashboards automatically.

Pricing

Tableau has multiple paid plans for teams to collaborate, including

  • Viewer plan for $15 a month per user,
  • Explorer plan for $42 a month per user, and
  • A Creator plan for $70 a month per user.

Enterprise Data Visualization Tools: Google Charts

G2 Rating: 4.2

Google Charts provides free options for creating interactive data visualizations by pulling data from multiple sources, including spreadsheets, databases, and customer relationship management (CRM) software. It is accessible through most devices and web browsers and generates charts using HTML5 and SVG technology.

Google Charts offers around 18 charts, including some of the most popular ones like bar charts, pie charts, area charts, tree maps, and more. You can customize the charts on it using simple CSS editing techniques.

Who Should Use Google Charts?

Google Charts provides an accessible way for students and universities to visualize data. Plotting fundamental charts, such as pie charts, bar charts, and more, can be beneficial for business purposes.

Pros

  • Google Charts is an open-source and freely available tool that allows anyone to visualize data.
  • It provides cross-browser compatibility as it uses HTML5 and SVG to generate graphs.
  • Google Charts contain a variety of data charts that are visually enticing and easy to understand.

Cons

  • It has limited support apart from the tutorials and forums.
  • Google Charts is a web-based application that requires network connectivity. It cannot function on your local computer without an internet connection.

Pricing

It is an open-source product and is free of cost to use.

Enterprise Data Visualization Tools: Zoho Analytics

G2 Rating: 4.3

Zoho Analytics combines business intelligence and online reporting services, enabling you to create and share information swiftly. It allows you to create user-friendly dashboards visualizing data related to sales, marketing, profit, costs, and more terms.

You can use Zoho’s free version, which allows you to create a limited number of charts to see if it suits your needs. Zoho Analytics is considered best for Zoho platform users.

Who Should Use Zoho Analytics?

Zoho Analytics can be used by an organization’s analytics team or sales team to unify sales data and forecast sales. It can be beneficial a wide range of users, including marketing teams, project managers, and many more.

Here are some of the pros and cons of using Zoho Analytics:

Pros

  • Zoho Analytics is user-friendly, allowing you to create reports without technical knowledge.
  • It provides features, such as report sharing and email scheduling, that can enable effective communication and data access.
  • Zoho Analytics contains drag-and-drop features and custom templates that can make your dashboard creation journey easy.

Cons

  • Although Zoho Analytics provides an easy-to-use interface, it has a steep learning curve.
  • The dashboards can become cluttered when used with large datasets, and Zoho Analytics might need to be more intuitive when dealing with vast volumes of data.

Pricing

There are four Zoho Analytics payment plans that you can choose from, including

  • A basic plan for $30 per month.
  • Standard plan for $60 per month
  • Premium plan for $145 per month, and
  • Enterprise plan for $575 per month.

Enterprise Data Visualization Tools: Data Wrapper

G2 Rating: 4.3

Data Wrapper is a data visualization tool with features similar to those of Google Charts. It enables you to quickly create reports and present them in graphical formats, making it often the best tool for media enterprises. Data Wrapper is an easy-to-use software that you can use to create dashboards with charts, graphs, maps, plots, and many more.

It provides you with free and paid options to choose from according to your requirements.

Who Should Use Data Wrapper?

Data wrapper is helpful for media, news publications, government institutions, and finance companies. Some of the renowned customers of Data Wrapper include The New York Times, WIRED, and more. Individuals can also use it for personal use of mapping data as it contains a free-to-use plan.

Here are some of the pros and cons of using Data Wrapper as your enterprise platform BI tool for data visualization:

Pros

  • It is entirely web-based. Therefore, creating charts does not require installation.
  • Data Wrapper provides you with a free version that you can use to check if it suits you.
  • It has a built-in color blindness tool that caters to the requirements of people with color blindness.

Cons

  • It allows connection with limited data sources, and in most cases, you may have to enter data manually.
  • The Data Wrapper’s paid version is more expensive than most other tools in the market.

Pricing

Data wrapper provides free and paid versions, including

  • A free-of-cost version.
  • Custom version pricing is $599 per month, and
  • Enterprise version with flexible pricing according to your requirements.

Efficiently Integrate Data Using Hevo

No matter what data visualization tool you choose, you must integrate all the data from different datasets. Since your data can be in disparate sources, extracting and consolidating them into one data pipeline is a practical consideration. The data integration process can be daunting, as you might need to monitor it and follow the steps to integrate data cautiously. To perform the necessary transformation steps before loading the data into your visualization tool, you can use Hevo.

Hevo is a no-code, real-time ELT platform that provides a cost-effective way to automate your data pipeline according to your requirements. It offers 150+ data source connectors from which you can extract data into a pipeline and then into a destination. With Hevo’s easy-to-use user interface, you can move data from any database and transform it before moving it to the visualization tool of your choice.

Here are some of the benefits of using Hevo:

  • Data Transformation: Hevo provides Python-based and drag-and-drop data transformation techniques that enable you to clean and transform data into a destination.
  • Incremental Data Load: It ensures efficient bandwidth utilization, allowing real-time modified data transfer.
  • Automated Schema Mapping: Hevo automatically manages schema by detecting the format of incoming data and replicating it to the destination schema. It lets you choose between Full & Incremental Mappings according to your data replication requirements.

Conclusion

This article discusses the main enterprise data visualization tools you can use to visualize your data. Data in numeric format can confuse many people without the proper analytical skills. Enterprise data visualization can help you generate insights from data by converting it into a graphical format.

The choice of your tool depends on the specific use case you are working on. Whatever tool you select to create dashboards, you must move data from your company database to a data pipeline and prepare it for the visualization tool. That is where Hevo can help you.

Want to take Hevo for a spin? Sign Up for a 14-day free trial and experience the feature-rich Hevo suite firsthand. Also checkout our unbeatable pricing to choose the best plan for your organization.

Share your experience with Enterprise Data Visualization Tools in the comments section below!

Frequently Asked Questions (FAQs)

Q What is the cost of using Business Intelligence (BI) tools?

The costs associated with BI tools vary significantly depending on the brand and the number of users. For instance, the price can range between $650 and $3000 per month for ten users. However, multiple open-source BI tools are available for free.

Q What are the critical features to consider while selecting a data quality tool?

When selecting a data quality tool, it is crucial to consider several factors. Here are some of the most common ones:

  1. Data Profiling: The tool must be able to analyze data by considering data inconsistencies, errors, and issues that can impact data quality.
  2. Data Cleansing: You must ensure that the chosen tools can clean and standardize the data while maintaining consistency and reliability.
  3. Duplicate Data Detection: The data quality tool must be able to eliminate duplicate data values that might bias the dataset.
  4. Scalability: The data quality tool must handle large-scale data and manage your organization’s growth.
Suraj Kumar Joshi
Freelance Technical Content Writer, Hevo Data

Suraj is a technical content writer specializing in AI and ML technologies, who enjoys creating machine learning models and writing about them.

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