Best Data Visualization Practices your Analysts should follow

Collaboration plays a huge role in data visualization.

Data visualization has many benefits that an organization can reap. However, if not held to their best practices, then it has the potential to deliver poor results.

Data visualization places data into a visual context. With these tools, organizations can develop graphs, charts, maps, and other visual elements that make the analytics meaningful for business users.

As the data is getting more and more complex, businesses are seeking data visualization tools that can help them to analyze it and create better strategies for their businesses. Though it is always best to upgrade and look for a new tool for advanced features, it doesn’t always provide the result as expected. As with any other tools in the market, it is less to do with its functionality and more to follow the recommended set of standards. Below are a few practices your business analysts can follow that can elevate your business operation:

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Strive for simplicity

Even though the process involved in data visualization is highly complex, the end result of the data visualization does not need to be.

Darren Brabham, senior director analyst at Gartner says,” There are limitations regarding what the human brain can process efficiently when it comes to visual information, so keep visuals clean and easy to digest quickly”.

When communicating the value of the data to senior executives, it is essential to understand that not all the C-executives possess the technical expertise to understand. Hence, creating interactive elements which are built into comprehensible indexes and summary scores, and can easily communicate a large chunk of complex data into simpler ways, can make the business operation smoother across all departments.

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Use the right tools

It is tempting to get your hands on the new features and functionality that are offered by the leading data analytics, business intelligence, and data visualization providers. However, without their scalability and accessibility to a diverse range of audiences, these additional functionalities lose their value. “The top technology used to visualize data today is still Microsoft Excel”, states Mike Leone, senior analysts at research firm ESG, while emphasizing the importance of the right tools.

If a company can achieve its goals through basic visualization tasks on a few, smaller data sets, Excel often does the job effectively. But, when it comes to integrate a powerful tool across larger teams or lines of business, connect multiple data sets of different sizes and structure, and enable users to explore as well as experiment with data visualizations, a sophisticated tool is needed.

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Hence, while seeking a visualization tool, you should consider the requirements and skill levels of various user groups within the organization.

Tell compelling stories

Telling stories that can reflect with the various user groups within the enterprise is still the most effective way of communicating complex information. Hence, your analysts should strive to weave together visualizations into a coherent data storytelling pursuit.

Developing a single complex and creating interactive visualizations that not only can be easily understood but also provide pathways for exploration to tell a coherent story. It will easily reflect with various goals of each department in the organization.

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Collaborate

Collaboration is a crucial part while developing effective strategies for business. And with data visualization, it is of a top priority. Teams should leverage certain data sets or visualization over others. They should document everything and explain every aspect of their findings in detail to each other. Such sharing of insights with in-depth research is the key to create effective visuals that can help you to develop effective business strategies and execute them in a timely and effective manner.