How to Create an Analytics Dashboard in Webflow - Superchart (2024)

Businesses of all sizes are integrating data analytics into various systems and processes, including their public-facing websites. Data visualizations can strengthen a website’s marketing potential and increase company credibility.

Many organizations leverage a business intelligence (BI) software vendor to meet their analytics needs, but with the rise of low-code and no-code software applications, teams can create data visualizations without needing a complicated backend data infrastructure or expensive frontend BI application.

For users of the content management system (CMS) Webflow, it’s possible to embed no-code reports within your website. Webflow is a powerful no-code SaaS web development platform that allows editors, designers, and developers to create dynamic websites at scale.

Given that many businesses leverage websites to display key figures, highlight marketing data, and improve SEO—embedding data visualizations within Webflow allows teams to incorporate real-time insights without needing to manually update static copy.

Here are a few common use cases for embedding charts and data in Webflow:

  • Providing analytics within an online customer portal to increase the value of the product or service
  • Displaying public figures on the company website to build trust
  • Displaying charts within online content to boost engagement and readership
  • Displaying company or market updates on KPIs

This article will discuss how to:

  • Identify Key Metrics
  • Create a Database With No-code Tools
  • Design a Data Analytics Dashboard
  • Embed Data Visualizations in Webflow
  • Publish an Embedded Analytics Dashboard

Identify Key Performance Metrics

Before adding data visualizations to your website, brainstorm the types of metrics that will strengthen a website or article's story. Significant amounts of text can overwhelm viewers, while data visualizations can help a user quickly interpret the value of a service or offering.

For example, a company may have industry-focused website pages that discuss why their product meets the needs of organizations in a particular vertical. In this scenario, a data visualization can supplement text by quickly and clearly showcasing a count of customers or total users served in a particular industry.

While this is a simple example, there are countless ways in which data visualizations can be used to augment a website and online content. Even news publications leverage embedded charts and graphs to showcase key figures that bolster an online article’s thesis.

While reports will vary by team and industry, some use cases include:

  • Market trends and statistics
  • Sales data
  • Survey response data
  • Company growth over time
  • Customer stories and case studies
  • Client counts and project completion rates for freelancers

Create a Database with No-Code Tools

With the rise of low-code and no-code software, there are numerous ways to organize critical business data using simple, no-code databases. Even if your organization has a sophisticated data pipeline and data engineering team, a no-code database enables teams to create their own reports without depending on technical engineering teams.

Popular no-code database options include:


While notion is known primarily as a robust documentation and team collaboration tool, Notion can also be used as a database. To do so, simply create a new page and select one of the options in the database section. We recommend using a table, which provides a spreadsheet-like structure to manually enter or import data.

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  • Inline capabilities: A notion database can exist as a standalone page or as inline content—allowing users to view source data within the same page as the performance dashboard. This can help teams better understand and verify the source data represented in reports.
  • Customization: The database structure itself can be changed from a table to a calendar, board, list or gallery—providing multiple viewing options for your performance dashboard’s source data.
  • Rows are pages: Unlike a static spreadsheet or database, each row in a Notion database is its own page—meaning distinct rows can contain their own subset of customizable data, comments, or notes.
  • Linked databases: Notion provides the ability to link databases between multiple pages. For example, a database that contains data for both the sales and marketing teams can be linked on each team’s respective pages and filtered to only include applicable data for each team. This functionality ensures individual teams can only view their own data, even if a database contains cross-functional information.


  • Limited integration options: While Notion can integrate with other applications, it was not built to handle large-scale data transfers. If syncing data from another application into a Notion database, there are limits on how much data can be synced depending on your plan type.
  • Slow load time with larger databases: Given that Notion was not built as a large-scale database tool, larger databases can cause slower page load times. Additionally, if Notion is used for all team processes and workflows, adding large linked databases into existing pages can hinder performance.
  • Primary field is text only: Unlike a traditional database, the first column in a Notion database must be a text field. This can be problematic if users desire a numeric value as a primary key.


At its core, Airtable was designed to allow organizations to create databases within a low-code/no-code architecture. Unlike Notion—a content management system that has some database capabilities—Airtable was designed to provide a user-friendly alternative to traditional spreadsheets and backend databases.

How to Create an Analytics Dashboard in Webflow - Superchart (3)


  • Linked records across tables: Just like a traditional database, a record can be linked from one table to another. For example, multiple tables might include the column ‘Company’. By linking the Company field between tables, data remains consistent and provides a relational data model similar to any traditional database.
  • Robust integration offerings: Given that Airtable was designed as a user-friendly database option, the tool can integrate with over 1,000 websites and apps.
  • Handles massive amounts of data: Airtable was built to handle data. Compared to Notion, users will likely experience faster load times and can sync more data into a table without hitting limits.
  • Customizable primary key: The first column in any database is considered a row's primary key or record that differentiates the row from any other. While Notion requires this field to be text-based, Airtable allows this field to be formatted in any of their supported data types.


  • Less flexible for non-data use cases: While Notion supports both documentation and data in a single place, Airtable records are not designed to support large amounts of text. Airtable really shines as a database vs a documentation tool, which could be a detractor depending on your team’s use case.
  • Learning curve: For non-technical users that are unfamiliar with relational databases, Airtable will likely have a higher learning curve than Notion and Google Sheets.
  • Price: Airtable’s Pro Plan is more expensive than Notion’s team plan and Google Sheets.

Google Sheets

Google Sheets can also be used as a no-code database. For anyone that’s used Microsoft Excel, the platform has a very shallow learning curve. Like Airtable and Notion, Google Sheets takes traditional spreadsheets online and allows for real-time collaboration between teammates.

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  • Free: While Notion and Airtable require subscription fees for accounts that require large-scale data integrations, Google Sheets provides a free alternative for any users with a Google account.
  • Small learning curve: Sheets provides an online, collaborative spreadsheet that will be familiar to any Microsoft Excel user.
  • Convenience with Google Suite: For organizations that use Gmail, Google Slides, and other G-Suite tools, Sheets is convenient and easy to integrate with other use cases.


  • No relational data model: Unlike Airtable, there is no connection or link between data contained in disparate Google Sheets. This can lead to inconsistencies and errors in the data.
  • Limited functionality and scalability: While Sheets allows for real-time collaboration between teammates, the service does not provide much functionality beyond that of a traditional spreadsheet. Additionally, Google Cloud Storage limits can make it difficult to integrate large amounts of data without incurring costs or experiencing slow load times.

Design an Analytics Dashboard

After brainstorming key metrics and selecting a database provider, it’s important to consider a logical order in which to present your reports. This is the foundation of data analytics dashboard design. What’s the clearest way to order reports on a dashboard? What visualization types work best for each report? Thinking about these questions helps to create an organized layout that tells your team’s story.

To design a clear and consistent analytics dashboard consider:

Creating a Mockup

While mockups can be intricately designed in front-end user-interface (UI) applications, they can also be as simple as drafting your dashboard design with pen and paper. Start with a lightweight rendering of the types of reports you want on your dashboard and think about the logical order in which they should appear. You can draft and change a mockup as many times as you need. This is simply a starting point to help determine the general layout of your performance dashboard, as well as the types of visualizations that are needed.

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Choosing Logical Visualization Types

Each data visualization type has a purpose and some can be better suited to display certain information over others. Consider the following as a general guide:

Single Value Metrics

A single-value metric should showcase a KPI that is a single, standalone value. These should typically be formatted at the top of a performance dashboard and provide a quick gauge on how the team is progressing. This number is often a percentage (e.g. % toward goal) or a total (e.g. 55 total opportunities). Additionally, color coding these metrics can help users quickly understand team performance. If a single-value metric contains a red value, this universally signifies that a metric is performing below a predetermined expectation. Green, on the other hand, can indicate the team is on track.

Comparison Visuals

Comparison visuals can consist of bar/column charts, pie/donut charts, area charts, ribbon charts, and shape maps. These visualization types make it easy to compare the differences and similarities between values. For example, a column chart that showcases revenue by sales rep can quickly highlight which rep is leading in sales for a designated time period.

Choose a Data Visualization Tool

Google Sheets

If Google Sheets is serving as your database, the service is an obvious (and free) choice for data visualizations as well. Additionally, Notion has a preconfigured embed block for Google Drive, making it easy to copy a report’s share-URL and embed the data within Notion.

The downside: Google Sheets doesn’t offer the sleekest visualization options. It can take a significant amount of time to format reports and there are limited design options. Charts are only a small portion of Google Sheets’ functionality, so the experience of creating visualizations can be inferior and time-consuming compared to more robust data visualization tools.


Tableau is an extremely robust data visualization tool and the sky's the limit for the types of reports and dashboards that can be configured in the application. Tableau is masterful at processing large amounts of data and dashboards can be customized to meet the look and feel of any organization’s branding.

The downside: A Tableau subscription is expensive and has a steep learning curve for non-technical users. It can certainly be overwhelming, making it inaccessible to many business users, especially in the no code community. There are also compatibility issues with low-code/no-code services; for example, it’s often necessary to use a supported third-party embed block like CodePen to ensure tableau dashboards render properly in Notion.


Superchart is a new data visualization tool that was designed to be embedded in no-code tools like Webflow and Notion. The application integrates with Airtable and Google Sheets to easily import business data. Superchart’s data visualization options include modern, customizable elements that look professional, follow design best practices, and have a fresh appeal. Additionally, changes in base data or chart design update automatically between Superchart and Webflow.

The downside: This new product has limited visualization types and database integrations. Their visualization types currently only include tables, pivot tables, bar charts, line charts, area charts, KPIs, and column charts. And their database integrations currently only include Airtable and Google Sheets.

Embed Data Visualizations in Webflow

At this point, let's assume you have created a dashboard mockup, you have the data available in a no code database, and you've created your data visualizations in a no code charting tool.

Now comes the fun and easy part.

To embed a visualization in Webflow, open the Add Panel by clicking plus sign, scroll down to ‘Advanced’, and select ‘Embed’.

This will open a popup where custom code can be pasted. Almost any HTML, CSS, or JavaScript (JS) can be embedded within Webflow, however, server-side languages like Python and Ruby cannot be embedded.

All you have to do is copy and paste the embed code from your visualization into this embed element.

How to Create an Analytics Dashboard in Webflow - Superchart (6)

Sample of Embedded Visualization Created Using Superchart

To style your embedded charts in Webflow, we recommend using containers and grids.

Containers are helpful for setting the style of the broader section and keeping all of the content centered and aligned. For example, in the image below, we have a container with an image, heading, text box, and embed element all nested underneath. This makes it easy to create a professional design where the data visualizations blend nicely with the text and images on the page.

If you're looking to arrange multiple charts and KPIs on a single page to display a dashboard, we recommend using Webflow grids. Grids are helpful to control the horizontal and vertical dashboard layout, while also optimizing for responsiveness across different devices. With grids, it's easy to arrange multiple embed elements together to create a dashboard.

In our Examples dashboard, we use a grid that contains embed elements inside of div blocks. This gives us optimal control to decide how many rows and columns each chart should span, what the height and width should be, and how all the visualizations should be arranged together most effectively.

Publish an Embedded Performance Dashboard

Once your data visualizations have been embedded into a Webflow page, you’ll want to publish your work. Before sharing broadly, it’s important to audit the dashboard and verify that the data is accurate. It may even be worthwhile to create internal processes by which the data is reviewed, or assign an analyst to provide quality assurance (QA) on the dashboard before it’s released publicly.

If your newly created analytics dashboard contains internal information or data that should only be visible by select users, Webflow also provides the ability to password-protect specific pages of your website.

Conclusion +Free Template

With so many businesses launching new products, websites, and online content, it's hard to capture attention and stand out from the crowd. The best way to do this is by adding more value, not noise.

Embedding charts, KPIs, and other data visualizations on your website, in your product or service, and in your online content, is a surefire way to help your brand stick out.

Build trust, boost engagement, and deliver value. Get started with our free example below.

Check out this Webflow dashboard we made using Superchart!

How to Create an Analytics Dashboard in Webflow - Superchart (2024)


How do I create a dashboard to visualize data? ›

Five tips to create effective data visualization dashboards
  1. Understand your audience. When you're creating a data visualization, remember – it's not about you. ...
  2. Communicate to a specific audience. ...
  3. Choose the best visual(s) ...
  4. Use proper design principles. ...
  5. Provide context for visualizations.

What is the difference between a report and a dashboard? ›

Reports tend to be broader and feature historic data. Because they must be delivered periodically, they represent a snapshot of a specific area or organization rather than its real-time situation. Dashboards, on the other hand, are built to visualize and organize data in real-time.

What is the difference between a good dashboard and a bad dashboard? ›

A good dashboard communicates, "These things matter; these other things don't." A bad dashboard throws everything on the page and forces the user to decide what is important. Good dashboards are as simple as possible—and no simpler. A good dashboard reduces data to its cleanest visual form.

How do I add an analytics dashboard to my project? ›

Adding a dashboard to your analytics project. To add a dashboard to your project: Click Add to project > Dashboard from the project toolbar, or click New dashboard from the Dashboards section on the project's Assets page. You can create a blank dashboard or upload a dashboard file from your file system.

What is an example of an analytical dashboard? ›

Examples of Analytical dashboards include: Comparing Sales trends over time and forecasting. Digital Marketing dashboards that measure campaign performance.

What is the difference between dashboard and data visualization? ›

Dashboard is a presentation of key performance indicators (KPIs) important to an enterprise. Database and data analytics professionals often build, use, and support dashboards. Data visualization is the application of data science to extract intelligence from data sources, often in a graphical format.

What data visualization tool is best for dashboards? ›

The Best Data Visualization Software of 2023
  • Microsoft Power BI: Best for business intelligence (BI)
  • Tableau: Best for interactive charts.
  • Qlik Sense: Best for artificial intelligence (AI)
  • Klipfolio: Best for custom dashboards.
  • Looker: Best for visualization options.
  • Zoho Analytics: Best for Zoho users.
Apr 22, 2023

Which tool can be used for creating dashboards for visual analytics? ›

Some of the best data visualization tools include Google Charts, Tableau, Grafana, Chartist, FusionCharts, Datawrapper, Infogram, and ChartBlocks etc. These tools support a variety of visual styles, be simple and easy to use, and be capable of handling a large volume of data.

How do I turn a report into a dashboard? ›

Pin tiles to a dashboard
  1. Open a report and select More options (...) > ...
  2. Hover over a visualization to reveal the options that are available. ...
  3. Select whether to pin to an existing dashboard or new dashboard. ...
  4. In this case, we select the option for New dashboard and enter a name.
Nov 23, 2022

What is the difference between dashboard and analytics? ›

Analytics Answers the “Why Behind the What”

So if dashboards answer the “what,” then analytics answer the “why” behind the what. Analytics take it a step further, digging down deeper into the data. We might pose analytics questions like: “When users search my site, what are the solid business outcomes/conversions?”

Which color is best for dashboard? ›

Natural colors are generally better than bright or bold colors. Reserve bright or dark colors to highlight outliers or important calls to action. Also remember that each color in a data visualization should serve a purpose. Use different dashboard colors only when you're communicating different things.

Why do dashboards crack? ›

The most common cause of dashboard cracks is exposure to ultraviolet light. Ultraviolet light is harmful to the chemical components of plastics such as PVC. Over time, ultraviolet light can evaporate oils and break down the plastic molecules.

Can you use a dashboard to visualize data? ›

Dashboards are data visualization tools that monitor, analyze, and display key performance indicators (KPIs), metrics, and key data points. Dashboards enable technical and non-technical users to understand and apply business intelligence to make better decisions.

What is analytics dashboard? ›

Dashboards are a collection of widgets that give you an overview of the reports and metrics you care about most. Dashboards let you monitor many metrics at once, so you can quickly check the health of your accounts or see correlations between different reports. Dashboards are easy to create, customize and share.

What are the key components of an analytic dashboard? ›

Key Features
  • Data Sources Connection. Business analytics dashboards facilitate connections to sources like data lakes, warehouses and marts.
  • Data Visualizations. ...
  • Data Tables. ...
  • Drill-Down Capabilities. ...
  • Data Filters. ...
  • Text Boxes and Tooltips.
Mar 29, 2023

What are the four elements of dashboard? ›

Remember, the basic element of a dashboard are Objective (+primary and secondary drivers), Performance Indicator, Target and Activities.

What makes a good analytics dashboard? ›

Great dashboards are clear, interactive, and user-friendly. They communicate information at a glance through efficient data visualizations that will enable users to extract actionable insights, identify trends and patterns, and find improvement opportunities through a friendly online data analysis process.

How many visualizations should a dashboard have? ›

In general, it's a good idea to limit the number of views you include in your dashboard to two or three. If you add too many views, visual clarity and the big picture can get lost in the details. If you find that the scope of your story needs to grow beyond two or three views, you can always create more dashboards.

Why are dashboards better than Excel? ›

Power BI dashboards are more visually appealing, interactive and customizable than those in Excel. Power BI is a more powerful tool than Excel in terms of comparison between tables, reports or data files. Power BI is more user friendly and easy to use than Excel.

What is the difference between visualization and analytics? ›

Data analytics involves using specialized software to collect and analyze large data sets with the goal of finding trends and gleaning insights. Data visualization involves presentation of the findings of data analytics in a way that even non-technical people will understand.

What is the free tool to create a dashboard? ›

Some of the best free dashboard tools for visualizing your metrics and KPIs are Datapad, Grafana, Databox, Dasheroo, FineReport, Metabase, Google Data Studio, Matomo, Tableau, and Inetsoft.

How do I create a free online dashboard? ›

How to create a dashboard with Geckoboard
  1. Get started for free. Sign up for a free Geckoboard account and start making dashboards right away. ...
  2. Connect your data, from over 80 sources. ...
  3. Visualize your KPIs. ...
  4. Design your dashboard how you want it. ...
  5. Get eyes on it.

How do I choose a dashboard tool? ›

One of the most important thing to think about when buying a Dashboard Software is ease of use, simplicity, visual representation and self service capabilities. Ease of Use : Think about understandability of end-users and the tools could be easy to use for the business users.

Which product allows you to create dashboards? ›

Google Sheets – for a free, low-key data management solution that allows you to create simple spreadsheet dashboards too.

What is the famous dashboarding tool by Google? ›

Google Analytics is the best value dashboard software. For small and medium businesses, the tool is free, while still offering to analyze traffic sources, optimize website performance, and use ML models to enhance measurements.

What tool do you use to visualize data flow? ›

The Best Flowchart Tools Comparison Chart
1Lucidchart Best flowchart with collaboration and data import featuresVisit Website
2Miro Best flowchart with built-in communication featuresVisit Website
3Creately Best free flowchart softwareVisit Website
4Whimsical Best app for making fast flowchartsVisit Website
6 more rows

What is the golden rule of dashboard design? ›

Important info at top left

Therefore, it is good practice to design your dashboards in such a way that the most important information is at the top left and then work your way across and down. Of course, if you are from a country where text is read right to left, then design it like that.

What is the difference between dashboard and dash? ›

A dashboard (also called dash, instrument panel (IP), or fascia) is a control panel set within the central console of a vehicle or small aircraft. Usually located directly ahead of the driver (or pilot), it displays instrumentation and controls for the vehicle's operation.

What is the difference between a dashboard and a chart or table? ›

Well, a dashboard is much more than one chart for one report. It can display multiple components/visuals from many different reports (or just the same one) to give a large overview over a given area. A report chart is just that, a visual chart for one given report's pulled records.

How do I create an interactive dashboard? ›

How to Create an Interactive Excel Dashboard
  1. Organize Your Source Data and Create a Layout. ...
  2. Build PivotTables to Organize Your Data. ...
  3. Apply Appropriate Formulae. ...
  4. Use Visual Elements, Charts, and Graphs. ...
  5. Add Interactive Settings and Tabs.
Sep 21, 2022

How do I present data on my dashboard? ›

The story based on the data on your dashboard should have a logical flow and lead to specific conclusions. That can also include the use of visualizations and colors—make sure you use the same visualization types for similar data sets, as it'll allow the audience to understand the dashboard better.

How do I create a digital dashboard? ›

How Do I Make A Digital Dashboard: Best Practices
  1. Take care of your design. ...
  2. Communicate with stakeholders. ...
  3. Consider your audience. ...
  4. Take advantage of the 5-second rule. ...
  5. Use contrast and be consistent. ...
  6. Set the right key performance indicators. ...
  7. Select the right charts and visualizations. ...
  8. Paint a vivid picture.
May 5, 2022

Are analytics the same as KPIs? ›

What are the differences between KPIs and analytics? KPIs are performance metrics that tell you if organizational goals are being met, while other analytics might tell you what's driving that performance.

Can a dashboard be created from multiple reports? ›

A dashboard is a collection of visuals from one or multiple reports that is assembled within the Power BI Service.

Is dashboard a KPI? ›

A KPI dashboard displays key performance indicators in interactive charts and graphs, allowing for quick, organized review and analysis. Key performance indicators are quantifiable measures of performance over time for specific strategic objectives.

Which colors to avoid in dashboard theme? ›

Avoiding using red and green on your dashboard unless you wish to show positive or negative values. Additionally, red and green can be difficult for color blind users to see. As an alternative to red and green you may choose to use maroon and teal.

What is the best material to cover a dashboard? ›

Poly-Carpet: Poly-Carpet has been our most popular material choice for years. A tough yet attractive polyester carpet which has a lifetime warranty and provides the maximum protection for the dashboard and cuts the most glare. Poly Carpet is available for all Custom Dash Covers and Rear Deck Covers in several colors.

Should you cover your dashboard? ›

Believe it or not, a car dashboard cover is essential. Installing one is an integral part of keeping the look and functionality of the car interior. It offers multiple benefits, including protection against sun damage.

What is the weakness of dashboard? ›

Lack of intelligent prioritization

Collecting thousands of events or alerts every minute from your applications and infrastructure, and presenting that data in a dashboard isn't analytics. Users apply filters on this data, performing their own analysis and work.

What is one of the disadvantages of dashboards? ›

Dashboards are often static, meaning that they don't update in real-time as data changes. This can make them less useful for tracking fast-moving trends. Dashboards can get difficult to customize, meaning that users may not be able to tailor them to their specific needs.

What is a good bad dashboard? ›

A good dashboard communicates, "These things matter; these other things don't." A bad dashboard throws everything on the page and forces the user to decide what is important. Good dashboards are as simple as possible—and no simpler. A good dashboard reduces data to its cleanest visual form.

What is the best glue for dashboard cracks? ›

Methyl methacrylate adhesives are two-part acrylics and are popular for work on cars and vehicles. Epoxies are great for damage that needs filling as well as adhesion.

Why do dashboards melt? ›

What causes a dashboard to melt, deform, or crack? Heat and humidity are the culprits. Depending on the car that you have, its dashboard could be made from either plastic, covered in vinyl, or molded from polyurethane.

What should be included in analytics dashboard? ›

Everyone on your team can benefit from analytics dashboards, especially CEOs, product managers, and marketing executives. Three metrics you should track in your product analytics dashboard are product usage metrics, customer loyalty metrics, and customer funnel metrics.

What is a analytics dashboard? ›

Dashboards are a collection of widgets that give you an overview of the reports and metrics you care about most. Dashboards let you monitor many metrics at once, so you can quickly check the health of your accounts or see correlations between different reports.

What tool to use to create dashboard? ›

Some of the best free dashboard tools for visualizing your metrics and KPIs are Datapad, Grafana, Databox, Dasheroo, FineReport, Metabase, Google Data Studio, Matomo, Tableau, and Inetsoft.

How do I create an interactive dashboard spreadsheet? ›

To create an interactive dashboard in Excel, you first need to create interactive charts. To do so, you first have to convert your data into a Pivot table. These pivot tables will then be used to create interactive charts which will then go on the Excel dashboard.

What 5 key metrics would you want to display on a data dashboard? ›

If you're setting up a dashboard for the first time, make sure these five metrics are on your list:
  • Traffic sources. sources report will tell you who is coming to your website and where they're coming from. ...
  • Social media reach. ...
  • CTA – ClickThrough Rates. ...
  • Bounce rates. ...
  • Progress to goal (monthly or quarterly)

Is Google Analytics dashboard free? ›

Grab the free Google Analytics VP Digital dashboard below to customize it by adding new metrics, colors, and widgets, and share it with members of your executive team.

How do I get to my analytics dashboard? ›

The add-in can be accessed by navigating to the Outlook toolbar and selecting the MyAnalytics logo. Microsoft MyAnalytics tracks user productivity and interactions to present users' true focus time in the dashboard.

What is the difference between dashboard and insights? ›

Dashboards are a collection of Insights and KPIs put together on a page. For example, you might have a Dashboard that contains four graphs (Insights). They are very handy for getting multiple views of your data at once. If you're not sure where to start, try out Getting Started guide for Reports.

What is the benefit of analytics dashboard? ›

Dashboards offer a solution. By condensing multiple reports down into visuals, such as graphs charts, tables, and metrics, and displaying those visuals on a single page, analytics dashboards allow business decision-makers to review significant amounts valuable information at a glance.

What are the best dashboard visualization tools? ›

Some of the best data visualization tools include Google Charts, Tableau, Grafana, Chartist, FusionCharts, Datawrapper, Infogram, and ChartBlocks etc. These tools support a variety of visual styles, be simple and easy to use, and be capable of handling a large volume of data.

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