Data analytics is no longer carried out by data scientists alone. Every employee—from salespeople in the field to your HR manager—needs to understand and participate in data-driven decision-making.

Collaborative analytics is the key to shared data insights. This includes the components within the data analytics process that help analysts and other team members work together to achieve shared goals. These elements include:

  • Data sharing
  • Collective analysis
  • Joint decision-making

Despite potential benefits, such as increased revenue and speedier decision-making, 41 percent of organizations lack the collaboration needed between analytics and business teams.

What is stopping businesses such as yours from collaborating on data? One issue is that the different teams within your organization don’t even know what resources other teams have and may be unaware of shared goals.

According to a survey of B2B and B2C companies, 9 percent say data is siloed between their marketing and sales teams. Another 40 percent list data sharing between sales and marketing teams as a challenge.

Businesses that invest in BI (business intelligence) software that offers collaborative features—and incorporate use of those features into their team’s existing workflows—will see data silos eliminated and revenue and operating margins increase by 15 percent or more.

This article compares popular BI tools that offer collaborative analytics features using user reviews on GetApp. Read more about our methodology at the bottom of the page.

The top-rated BI apps for collaborative analytics (arranged alphabetically) are:

5 top-rated BI apps for collaborative analytics
For a longer list of BI solutions offering collaborative analytics, visit our BI and analytics catalog page

Databox: Mobile-first BI tool that helps improve data transparency

Databox is a mobile-first business intelligence tool specifically targeted at the sales and marketing teams of small and midsize businesses (SMBs), as well as enterprise organizations. Databox works on all mobile devices including digital watches. Native apps are available for iOS and Android platforms.

This tool pulls in data from multiple third-party applications, including HubSpot, Salesforce, Stripe, and Google Analytics and organizes it in a central location. It also provides a library of premade templates to create dashboards and lets you segment and filter data using drag-and-drop options.

Databox’s collaborative analytics capabilities

Databox offers users the following capabilities for collaborating to generate data insights:

  • Share data with colleagues and request actions from them by marking up the data.
  • Create a “Datawall,” by combining data from different sources, and share it with your team.
  • Add annotations and build shareable reports.
  • Set permission rights for different data sets to provide only restricted access to other users.
  • Receive email alerts in case of data anomalies.
  • Get daily scorecards and weekly summary reports about data updates.

Adding annotations to graphs in Databox
Databox lets you add annotations that can be viewed by all who have rights to the dashboard (Source)

User feedback trends

Based on analysis of reviews on GetApp, here’s what real users of Databox feel are the most helpful collaborative analytics features offered by the tool.

  • Quick sharing options that allow them to share charts and other visualization elements with co-workers in a few clicks.
  • Saves time and effort by allowing access to all important metrics from one centralized location.
  • Easy to manage and collaborate with team members and clients on several different KPIs and metrics.
  • Helps bring the whole team on the same page when it comes to numbers and ensures data transparency across global teams.
  • Allows users to share customized templates that they’ve created with other team members.

Who should consider Databox?

Databox is a mobile-first business intelligence platform. It is best suited for employees and/or teams that work from multiple locations and are often needed on site working with clients.

In addition, businesses that need their sales and marketing teams to be closely aligned, B2B firms, retailers, and travel agencies should consider Databox.

Dundas BI: Data exploration and analysis tool with unique collaboration capabilities

Dundas BI is a data exploration and analysis tool that supports features such as data visualization, dashboards, and reporting. The software offers both cloud-based as well as server versions. Designed using HTML5, Dundas BI is also accessible on mobile platforms.

Along with core functions, such as customizable dashboards and a variety of graphs, scorecards, and charts, Dundas BI also offers communication and collaboration tools to turn data analysis into a collaborative effort, instead of a siloed one.

Dundas BI’s collaborative analytics capabilities

Dundas BI offers many unique collaboration capabilities in addition to commonly available features such as data sharing, annotations, and email or text notifications.

Some of its key collaborative analytics capabilities include:

  • Share interactive dashboards, reports, and scorecards seamlessly across Dundas BI’s desktop and mobile versions.
  • Add notes to a chart or dashboard, post questions, discuss the data analysis output, and request follow-up actions.
  • Users with appropriate permissions can change data values to make the analysis more accurate based on the latest business status.
  • Get email and text notifications when others reply to your post or about other data analysis updates, new reports, and data corrections.
  • Schedule regular reports for a group of people along with customized messages.
  • Slideshow feature supports storytelling capabilities that help answer questions users may have around the data analysis.

Discuss data results by adding comments to charts in Dundas BI
Dundas BI allows users to add and respond to comments (Source)

User feedback trends

Based on analysis of reviews on GetApp, here are some capabilities of Dundas BI that users like and some areas they would like to see improved.

  • Users like that Dundas BI allows you to annotate data points, add and respond to comments, and schedule report generation.
  • The software’s “data-driven notification option” alerts you by email when a specific metric goes above or below a threshold.
  • A user suggests that the vendor add a function that allows sending messages to other team members. Some users also say the software’s versioning feature is a bit confusing.

Who should consider Dundas BI?

Dundas BI offers interactive and customizable dashboards and data visualizations. It is a good option for small businesses seeking data insights in a visual format. It also offers advanced features, such as embedded analytics, that you can use as the complexity of data and analysis requirements increase.

QlikView: A guided analytics tool for beginners

QlikView is a cloud-based tool for guided analytics that aids in data discovery and insight generation.

It provides advanced reporting features and integrates with multiple sources, including social media websites, other web files, or local databases, to capture relevant business data.

QlikView also offers granular control of dashboards and layouts and top-down control of analytics apps, permissions, and data management.

QlikView’s collaborative analytics capabilities

QlikView offers many collaborative analytics features like dashboard sharing, adding annotations and starting discussions around data. There are also some unique capabilities, like the “collaborative sessions.”

Here are some of the key collaborative analytics functions offered by QlikView:

  • Ability to share dashboards and visuals, similar to sharing your screen in many collaboration tools.
  • View, write, edit, or delete annotations and start new discussions around the data
  • Take snapshots of the charts/dashboard when a note or annotation is added to help other users understand the context of the discussions.
  • “Collaborative session” feature allows you to invite other users to join a conversation via phone or VoIP.
  • Share dashboards with colleagues or customers who don’t have a QlikView account by sending them a session link via email. The session link remains active until the time you are logged into
    the system.

Use notes to ask queries on data results in QlikView
The “Notes” feature in QlikView lets you add comments and questions (Source)

User feedback trends

Based on analysis of reviews on GetApp, here’s what real users of QlikView feel are the most helpful collaborative analytics features of the tool.

  • Quickly share information, dashboards, and reports with other team members by publishing them over the web.
  • Allows you to control access rights to the shared files through a management console.
  • Helps join together data from multiple sources and allows different teams to work together on unified data sets in real time.

Who should consider QlikView?

QlikView is a guided analytics solution, and therefore, a good option for beginners who do not have much prior analytics experience. QlikView also offers a repository of training materials and demo videos that help train employees on the tool more quickly.

Sisense: Agile BI platform with a built-in chatbot

Sisense is an end-to-end agile business intelligence platform that improves business-IT collaboration and helps meet the changing data analysis requirements using a flexible methodology. You can deploy the software on-premises or use the cloud-based version.

Sisense integrates with your existing web analytics, CRM, and advertising platforms and offers features such as dashboards, data mash-up capabilities, reporting, and data governance.

You can slice and dice the data as well as share interactive visuals and dashboards with the rest of your team.

Sisense’s collaborative analytics capabilities

Sisense offers some advanced collaboration capabilities such as built-in chatbots that drive conversations and provide automated insights.

Here’s a look at the key collaborative analytics capabilities supported by Sisense:

  • Publish dashboards in one click and share them with the team. You can also share dashboards with external users by emailing them the dashboard URL.
  • Multiple users can view, tweak, filter, and drill the data in real time and collaborate on insights.
  • Get regular dashboard updates and PDF charts along with customized messages on your mobile phone, email, Slack, or Skype account.
  • Create user groups and set access rights to data sets.
  • Built-in chatbot, Sisense Boto, delivers automated insights to messaging channels such as Slack, Skype, and Messenger and can be added to group chats to share and discuss these insights with other team members.

Start conversations around data analysis in Sisense dashboard
Users can add comments and start conversations around the data analysis in Sisense (Source)

User feedback trends

Based on analysis of reviews on GetApp, here’s what real users of Sisense like about its collaborative analytics capabilities.

  • Users like that Sisense makes sharing dashboards and data visualizations, on mobile as well as desktop, quick and easy.
  • Multiple users mention that Sisense has helped them better communicate and understand KPIs using shared dashboards. They say this has changed the way their businesses analyze data.
  • According to users, Sisense helps everyone in the organization access data and share it with each other, making the business more “dynamic.”

Who should consider Sisense?

Sisense is a good option for teams and businesses in most industries, including digital marketing, retail, and eCommerce, that want to create quick data visualizations and dashboards out of their data sets. The tool’s drag-and-drop functions and simple drill-down tools help even those without any coding knowledge quickly analyze their data.

Tableau: BI and data visualization tool with flexible collaboration capabilities

Tableau is a business intelligence and data visualization tool that supports organizations from nonprofits to global enterprises to small teams. The cloud-based version of the software is called Tableau Online, and the on-premises version is Tableau Server.

Tableau offers a variety of features including dashboards, interactive visuals, geographic maps, time series, and survey analysis. Tableau also offers collaboration features that help team members share data and visuals and engage in conversations around the data.

Tableau’s collaborative analytics capabilities

Tableau supports many common collaboration capabilities such as commenting and dashboard sharing, as well as offering niche features such as “viz snapshot.”

Here’s a look at key collaborative analytics capabilities offered by Tableau:

  • Publish and share your dashboard to allow all team members to view insights, ask questions, and leave comments.
  • Tag team members to invite them to view and discuss the data.
  • Web authoring rights allow select users to edit annotations, resize headers, and update the axes.
  • Look back at the revisions made and republish an older version of the data analysis.
  • The “viz snapshot” feature allows you to add screenshot images of previous data analysis steps to a comment so everyone on the team understands the context of the discussions.
  • Get daily or weekly subscriptions on dashboard updates.

Tableau Mobile also supports the same collaboration features as its desktop version.

Attach images to comments in Tableau
Tableau‘s “viz snapshot” feature allows users to add images to comments (Source)

User feedback trends

Based on analysis of reviews on GetApp, here’s what real users feel about the collaborative analytics capabilities of Tableau.

  • Users like that Tableau provides a variety of options for easy sharing of dashboards, reports, and graphs.
  • The visualization tools in Tableau are also considered very effective for communicating messages with the team and the senior management.
  • Users like that they can opt to present the data in dashboards or more elaborately in storyboards and share it over the web or as static PDFs.

Who should consider Tableau?

Tableau is best suited for businesses and teams that work on multiple data sources and need advanced analytics features. Small businesses that have employees with some level of analytics training will find it easier to navigate this tool as its has a steep learning curve, according to user reviews on GetApp.

Next steps

There are many factors that go into an effective software selection. Here are a few things you should keep in mind:

  • Ensure that the software checks all the boxes for the features you need. Identify the features you need now, as well as those that you might want in the future, and select a tool that offers at least most of them.
  • Select software that integrates with your existing CRM, marketing, HR, and accounting applications.
  • Choose software that is within your budget as well as offers scalability in terms of licenses or number of users.
  • Most BI software vendors offer free trials, demo as well as free versions of the software. Use these free trials to shortlist the right BI software for your business.

Other helpful resources

The above comparison is meant to help you make an informed decision as you choose a BI solution that makes collaborative data analysis easier. To learn more about BI tools, you can check out some of these additional resources:

  • Compare more BI tools that offer collaborative capabilities.
  • Check out our blog for more articles on business intelligence.


The solutions highlighted in this article are the BI software systems that offer collaborative analytics capabilities and had the highest overall user rating from among the most reviewed products at the time of writing (the week of June 14, 2018).

Here’s an overview of our method for choosing this list of top-rated apps:

  • We filtered BI products that offered collaborative tools. The list of 50 products was then arranged in descending order, with those having the highest average customer review at the top. From among the top 10 products with the highest number of reviews, the five having the highest user ratings were shortlisted.
  • The “User feedback trends” section for each product is based on analysis of feedback for the feature discussed, from users who left reviews on GetApp.
  • Other information in the article is compiled from the vendor websites and other secondary sources, wherever mentioned.

NOTE: The content in this piece that provides opinions and points of view expressed by users does not represent the views of GetApp.

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