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Data visualization: what you need to know to

Another flexible and powerful tool for creating great charts from readily available and ever-changing data. It generates a JSON format with numerous possibilities, from internal reporting to Content Marketing.

As with the other examples, it requires programming. Another drawback is the simplicity of its visuals, which is important when the goal of the information is to engage people.

Canva

Canva is a comprehensive graphic design  south korea phone number data solution, with an intuitive interface and almost no programming required. One of its tools is a graphic creator with beautiful templates to get you started.

Canva doesn’t have the planning part of a project, especially if you’re looking at data for Content Marketing. But it’s easy to use and offers several ways to customize your work.

Visual.ly

Visual.ly has a different and unique approach to data visualization. It focuses on the growing demand for the use of visual information applied to content and Digital Marketing .

The key difference is that Visual.ly is not a tool, but a service. It offers access to the best talent in the market, who can help create, design, execute and share media far beyond graphics: 

  • infographics, 
  • ROI calculators , 
  • information, 
  • presentations,
  • videos ,
  • and much more.

Therefore, their strength lies in reformulating information, with clear objectives in mind, such as attracting leads, gaining visibility or consolidating a brand in the market.

Because it’s a service, you don’t have to assign so but in countries where the internet has meone on your team to produce and manage data in that context. All the work is outsourced .

It is an association to generate visual content continuously and at a high level, something that is crucial for any company today.

Conclusion

Data visualization is an effective strategy for transforming raw data into dynamic, intuitive, and easily shareable images.

You can tell a complicated story and teach  europe email people about complex concepts in a way they clearly understand.

Today, these methods have been widely used in Business Intelligence. The goal is to simplify data to inspire decisions.

Do you want to learn more about this topic? Then download the fourth edition of Rock Content 

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