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Revenue Intelligence
10 Best Data Visualization Software Of 2022

Why do you need data visualization software? As a RevOps professional, you're constantly collecting data – whether it's through customer surveys, marketing campaigns, or sales CRM.

But what do you do with all that data? It can be overwhelming and difficult to make sense of it all, and even more difficult to present it in a way that's easy for your non-technical colleagues or clients to understand. That's where data visualization comes in!

Data visualization is the process of turning data into graphical representations that are easy to understand. These graphical representations can be charts, graphs, and maps where you can present your data in a way that's visually appealing and easy to understand.

10 Best Data Visualization Software List

  1. SAP Crystal Server - License-based business intelligence platform with offline features.
  2. Tableau - AI-driven visual analytics platform that visually expresses data by translating drag-and-drop actions into data queries.
  3. Splunk Enterprise - Data visualization platform with 2300+ integrations and access to dashboards from any device.
  4. Qlik - Data integration platform that centralizes your data so you can extract the most value out of it.
  5. Infogram - Best to create infographics and interactive content that increases data understanding.
  6. Domo - Interactive, customizable dashboards that tell a story with real-time data.
  7. Looker - Data platform, part of the Google Cloud, that offers data analytics, exploration and insights.
  8. MicroStrategy - Visualizations, with a drag-and-drop canvas that renders on any device
  9. Sisense - Self-service dashboards with code and low code options.
  10. Klipfolio - Build and share business dashboards on web browsers, TV monitors and mobile devices

Other Tools

If you're not fully convinced by the list, here are a few other options that did not make it to the best 10.

  • Chartio
  • Zoho Analytics
  • DashThis
  • FusionCharts
  • Whatagraph

3 benefits of Data Visualization

  • Helps communicate better with non-technical teams.
  • Assists with identifying outliers, trends, and patterns.
  • Engages your audience .

Tips for Creating Effective Data Visualizations

Using data visualization software can be challenging, but with a little bit of knowledge and practice, you can create visuals that are both effective and easy to understand. Here are a few tips for getting started:

  1. Keep it simple. Try to use as few graphical elements as possible to represent your data. This will make it easier for your audience to understand what you're trying to say.
  2. Use universal symbols whenever possible. Most people are familiar with common symbols such as arrows and dollar signs, so they won't have to spend time deciphering what your graph is trying to say.
  3. Use color wisely. Color can be used to highlight important trends or patterns in your data. Remember to have consistent color coding and be careful not to overuse colors – too many of them can be confusing and distracting.
  4. Practice, practice, practice! The more you work with data visualizations, the better you'll become at creating effective ones.
By Phil Gray

Philip Gray is the COO of Black and White Zebra, a digital publishing and tech company. He hails from rainy Glasgow, Scotland transplanted in not quite as rainy Vancouver, BC, Canada. With 10+ years of experience in leadership and operations in industries that include biotechnology, healthcare, logistics, and SaaS, he applies a considerable broad scope of experience in business that lets him see the big picture. His love for data and all things revenue operations landed him this role as resident big brain for the RevOpsTeam. A business renaissance man with his hands in many departmental pies, he is an advocate of centralized data management, holistic planning, and process automation. An unapologetic buzzword apologist, you can often find him double clicking, drilling down, and unpacking all the things.

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