9 Visual Reporting Tools to Consider in 2025

Visual reporting tools unlock business insights that were previously trapped in disparate source systems. These tools go beyond the standard charts and graphs of Microsoft Excel and display data in a more sophisticated, visually appealing way. These tools achieve this through visuals such as interactive dashboards, geographical maps, heat maps, dials and gauges, pie charts, and more. 

The purpose of visual reporting tools is to enable users, regardless of their technical skill, to make better decisions, backed by data. Essentially, visual reporting enables users to understand what is happening in the business without spending hours interpreting spreadsheets or complex data charts. 

For example, users seeking to understand a recent security incident may not understand what happened by simply viewing the event report or data in a spreadsheet. Visual reporting tools make sense of the data by highlighting security gaps in building access codes or user errors. Security managers can then take action more quickly, reducing the likelihood of additional security vulnerabilities.

What to look for in a visual reporting tool in 2025

With a myriad of visual reporting tools on the market, it can be difficult for organizations to know which tool will fulfill their unique needs. Below are some of the features that visualization tools should have:

• Data visualization: Visualizing data is the most important feature of a visual reporting tool. It should be able to provide users with data insights at a glance, and the more tools the platform offers, the better. Look for platforms that provide methods such as data maps, pie charts, line graphs, Venn diagrams, etc. This enables users to choose the tool that best suits their needs and comfort level.

• Drag-and-drop reporting: Platforms that are difficult to use or require significant technical skill to operate are less likely to be used by employees. Look for platforms that feature drag-and-drop reporting tools, as this enables anyone to create data reports with ease.

• Interactive reporting dashboards: Dashboards are where reporting tools will display data; platforms that provide interactive dashboards are incredibly valuable. They enable users to view data from multiple perspectives, enabling users to make better business decisions.

• Integration support: Businesses rely on multiple tools and applications to complete tasks which means data is coming in from multiple sources. Visual reporting tools should seamlessly integrate with these applications and centralize data on a single platform. This makes data collection, analysis, and visualization automated and hassle-free.

• Communication and collaboration: Team members should be able to communicate and collaborate with each other on data reports. Additionally, they should be able to share information, assign tasks, and resolve issues within the platform.

Top 9 best visual reporting tools for 2025

Whether users are new to data visualization or experienced analysts, these platforms offer a myriad of tools that simplify complex data and encourage action. Below is a list of the top 10 contenders in the field.

1. Domo

Domo has secured a position as a leading platform in data analytics, BI, and intelligent applications. The cloud-based software features a user-friendly interface that democratizes data and enables employees, no matter their technical background,to create stunning data visualizations. Using the arsenal of visual reporting tools, users can quickly create interactive dashboards, insightful reports, and more to drive decision-making and bolster business performance.

Key features:

A key feature in Domo’s visual reporting tools lies in the platform’s user-friendly interface. The platform contains over 150 chart types where users can create live visualizations in minutes via drag-and-drop tools. Additionally, Domo empowers users to build interactive dashboards without the need for extensive technical skills. Together, Domo’s visual reporting tools help people make informed, data-driven decisions.

Pros:

• User-friendly interface and user-centric design
• Built-in data visualizations
• Seamless data integration
• Drag-and-drop tools
• Communication features

Cons:

• As an end-to-end data management tool, Domo may be priced higher than other tools focused more on just data visualization

2. Zoho Analytics

Zoho Analytics is a cloud-based business intelligence platform that emphasizes visual reporting. The platform’s interactive dashboards and reports enable users to easily explore and analyze data. Additionally, Zoho Analytics connects to numerous databases, cloud applications, spreadsheets, and social media sources. 

Key features:

The user-friendly interface of Zoho Analytics makes it easy for users to access data and create stunning data dashboards. Zoho also connects to a myriad of data sources and centralizes it on the platform. Users can then use drag-and-drop tools to build reports or dashboards.

Pros:

• Affordable for both small and large businesses
• Drag-and-drop tools
• User-friendly interface
• Robust collaboration tools

Cons:

• Advanced capabilities may be limiting for larger organizations with complex data

Learn more about how Domo compares to Zoho Analytics in our side-by-side comparison. 

3. Tableau

Tableau is among one of the most popular business intelligence and data analytics tools. The solution enables users to collect data from multiple disparate sources and create collective datasets that can be shared with other users. The platform features a variety of data visualizations—from basic pie charts to detailed geospatial maps.

Key features:

One of the key features of Tableau is the ability to create a narrative around data sets. Users can map out data sources and create custom dashboards or reports to make data more accessible and digestible. Additionally, the platform offers a number of visualization types, so users can pick the models that best meet their needs.

Pros: 

• Active user community provides great support
• Advanced data exploration capabilities
• Strong integration capabilities

Cons: 

• Steep learning curve for new or beginner users

Want a comparison of Domo and Tableau? Check out this article. 

4. Microsoft Power BI

Microsoft has simple data visualization capabilities across its suite of business business applications, but the real data visualization powerhouse is Power BI. As a BI platform, Power BI has many tools to help users transform raw data into meaningful insights and interactive reports. Power BI allows users to visualize data through customizable dashboards, providing both an at-a-glance and in-depth view into KPIs. 

Key features:

Power BI supports integration with a multitude of data sources, especially other Microsoft products. The platform’s user-friendly interface and drag-and-drop functionality make it easy to create comprehensible visualizations and reports. 

Pros:

• Integration with a wide range of data sources
• Seamless integration with Microsoft tools
• Large library of learning resources

Cons:

• Performance can be impacted with large datasets
• Data governance less robust than other tools on this list

See how Domo and Power BI compare. 

5. Qlik

Qlik is an advanced data analytics and business intelligence platform tailored for data-driven decision-making. It was an early adopter of AI, integrating it into tools like Qlik Answers to help users quickly dive into the insights within their data. As users explore their data, Qlik provides a wide variety of data visualization options to help drive insights home. Qlik’s visualization options give users a comprehensive view into key metrics, trends, and business performance. Qlik integrates relatively easily with a variety of data sources and can help data analysts present and share critical data points in an intuitive, organized manner.

Key features:

Qlik touts its AI capabilities integrated throughout the end-to-end data management platform – with AI supporting ingestion and analysis. It has the capability to connect with over 100 data sources, including SQL databases, cloud services like AWS and Google Cloud, and a variety of CRM systems. Qlik touts their associative data cloud as a way to explore data freely and discover relationships between data across different sources.

Pros:

• Associative data model for flexible data exploration
• Automated insights powered by AI tools
• Embedded analytics tools gives users data insights directly within other applications

Cons:

• Steep learning curve for new users
• 100 pre-built connectors is a much smaller number than other tools on this list

Check out this article on how Domo and Qlik fare in a head-to-head comparison.

6. Adverity

Adverity is an end-to-end marketing solution that enables marketers to improve business performance with data-based decision making. The platform integrates and extracts data from various sources and garners it into clean, detailed reports. Adaptable templates and built-in dashboards enable users to share reports across the enterprise.

Key features:

An advantage to using Adverity is the ability to choose between a no-code or low-code approach to data manipulation features. Depending on users’ skill sets, they can either manipulate and clean data themselves or leverage the platform’s automated features. 

Pros:

• User-friendly interface
• Custom reporting capabilities
• Ability to retrieve data from various sources
• High-quality customer service
• Flexible

Cons:

• Steep learning curve for beginner users
• Complicated transformation scripts
• Primarily focused on marketing use cases

7. Funnel

Funnel is a marketing data platform designed specifically for marketers. The platform tracks marketing data and metrics across tools; it also creates comprehensive data dashboards. Dashboards provide an in-depth look into KPIs, return on investment (ROI) for advertising spend, and more. Funnel integrates with a number of popular marketing platforms, including Google Analytics and Moz, and combines data into an organized, insightful report.

Key features:

Funnel has the ability to integrate with more than 500 marketing tools, including Google Data Studio, Google Ad, Google Search Console, and a number of other SEO tools. The platform’s visual reporting tools automatically assemble the data into detailed reports regarding overall marketing performance. Additionally, the platform boasts a large learning center, enabling users to find answers to common questions.

Pros: 

• Over 500 data connectors
• Easy-to-use data visualization dashboard
• Provides access to historical data of up to two years

Cons:

• More expensive for small- to mid-sized companies
• Difficulties in transforming data

8. SAP Analytics Cloud

SAP Analytics Cloud enables users to discover, visualize, and leverage data to improve business intelligence. The platforms’ visual reporting tools offer powerful predictive analytics and design features that enable users to create complex analytical applications.

Key features:

One of SAP’s most notable features is its AI-powered suggestions. The platform enables users to quickly organize data and create plans based on AI predictions. This puts more data into decision-making processes, allowing users to more effectively address business needs. Additionally, SAP Analytics Cloud features customizable built-in templates for users to organize business data in real time.

Pros:

• AI-powered suggestions
• Customizable dashboards
• Automated data gathering
• Enhances data exploration

Cons:

• Higher learning curve than other visual reporting platforms

9. Grow

One of the few no-code visual reporting tools on the market, Grow enables users to delve deep into data without help from software engineers, IT, or SQL. Grow seamlessly integrates with a number of sources, including spreadsheets, ad platforms, CRMs, social media, and more, and enables users to create easy-to-understand reports via drag-and-drop tools.

Key features:

A highlight of the Grow platform is the ability to view multiple dashboards in a single location. This enables users to quickly make sense of various metrics, which strengthens decision-making. Additionally, the wide training library provides an abundance of resources on how to maximize the platform’s capabilities.

Pros:

• Supports a variety of data integrations
• Customizable dashboards 
• Collaboration-centric interface
• Access to hundreds of pre-built reports

Cons:

• Some errors with specific data integrations
• User interface is not the most friendly

Choosing the right visual reporting tools for your business

Being aware of the rich landscape of visual reporting tools is critical for organizations wanting to enhance decision-making through data visualizations. Choosing the right tools for your business depends on your organization’s specific goals and requirements. Top visual reporting platforms such as Domo and Tableau feature easy-to-use data visualization tools that seamlessly connect to data sources and empower users to transform data into actionable reports. 

Knowing what your organization needs will ensure you select a platform that enhances data exploration and reporting and fully unleashes the power of your data. Domo stands out as that interface. With its user-friendly interface, customizable dashboards, vast library of data connectors, and AI-powered tools, Domo enables users to access, analyze, and report on data—all in a secure platform. This ultimately results in better data insights, better decision-making, and better business performance.

Visual reporting tools FAQs

Have additional questions about visual reporting or how to choose the best visual reporting tool? We’re here with answers.

• What is visual reporting?

A visual reporting tool is software that takes in data from other sources and organizes it into graphs, charts, or other visual representations. The tools are designed to make information more digestible.

• What are the different reporting tools?

Business intelligence (BI), corporate performance management (CPM), and marketing reporting software are the three most common types of reporting tools available.

• What are the advantages of visual reporting?

Visual reporting enables users, regardless of their technical skill, to access and analyze data from multiple sources. This improves overall decision-making and helps create a data-driven culture.

• What is the purpose of a visual report?

Visual reports help users to make sense of large or complex data to streamline decision-making.