How to Solve the Biggest Problems With Data Visualization

December 22, 2020 BI

Are your data visuals not communicating your insights in a way that’s effective? Any organization that wants to make complex datasets into actionable insights relies more and more on data visualization. Data visualizations empower us to dissect the complex and convey it in a way that many of us can intuitively grasp, ultimately enabling us to make better decisions more quickly.

In this blog, we will consider some of the most common problems with a data visualization platform and the way of tackling them.

What are Data Visualization Solutions?

Data visualization solutions are specialized tools or software platforms that make complex data easy by organizing them in a graphical format (charts, graphs, or maps). It makes it easy for businesses to analyze data, spot trends, and draw insights from these visuals.

Data visualization as a service powers clearer communication, painless decision-making, and improved productivity for businesses. These business intelligence solutions inspire quick data exploration thanks to interactive business intelligence dashboards, customizable business intelligence charts, and more. The best data visualization platforms provide support for multiple data formats, easy user-friendly interfaces, and collaboration tools that allow you to easily share insights with your team. To get the best out of the data that you’re getting and make sense of it, you need to hire data visualization developers to customize such solutions to your exact needs.

Common Problems with Data Visualization Platforms

Even with the best data visualization platforms, there can still be problems. Here are some of the most common issues faced by users:

Too Much Information:
With a tremendous volume of data, it can be difficult to make sense of your key insights, and instead, your visuals end up being an unmanageable data soup.
Misleading Color Contrast:
The data differences may be distorted by poor color choices that make the perceived differences come out incorrect.
Improper Use of 3D Graphics:
3D visuals can be eye-catching, but too much of that can conceal important information under flashy design.
Biased Image Descriptions:
Simple visuals, like pie charts, can be misleading without context and can even lead to mistaken interpretations.
Messy Pie Charts:
Too many slices and the labeling being unclear of the pie chart decrease the impact of what you want to say.

Strategies to Overcome Issues in Data Visualization Platforms

Data visualization solutions can reduce complex data into simple data and additionally convey it successfully. Here are the top strategies to overcome the major challenges in data visualization platforms:

Simplicity is the key to solving the cluttered visual problem. Eliminate unnecessary elements, provide clear labeling, and concentrate on the most crucial details. Consider breaking down the complicated illustrations into much easier-to-understand and smaller sections.

Choose the right visualization methods very carefully to avoid misleading visuals. Data can be distorted easily by skewed scales or by altered visuals. Transparency and accuracy are crucial in ensuring that viewers understand the actual representation of the data.

Offering information and providing context makes it easier for viewers to comprehend its importance. Giving the audience context means explaining the significance, history, and implications of the information so they can grasp its broader meaning. Including benchmarks and comparisons helps convey a more comprehensive understanding of the presented information.

Each dataset requires its own visualization. Whatever it is, pie charts, bar charts, business intelligence dashboards, or anything, the main thing is picking the right type of visualization so you can communicate. Different datasets will require us to choose data visualization solutions that provide different chart types.

When writing the data, the narrative should be simple. Using annotations and captions helps the audience to see what you want them to see. BI data visualization tools are useful in this space as they help developers put together tailored visuals that support your message.

If you have poor color schemes, your audience will get confused. The colors you choose should always be ones that are easy to understand. Get data visualization developers to play with the aesthetics and functionality of your visuals.

In visualizing data, ignoring data quality involves neglecting cleaning, preprocessing, and validating data adequately. This omission can result in false conclusions and poor choices. Crucial actions include fixing incomplete or inconsistent data, ensuring accuracy, and transparently revealing limitations. Paying close attention to data quality improves visualization reliability, which builds user and stakeholder trust.

When it is time for data visualization, we need to be careful about making sure the experience of the audience or the experience of the expert is what they need for it to be effective. Miscommunication can arise if images are not customized to their level of understanding. To effectively communicate with the audience, it is essential to take into account their level of expertise, avoid jargon, and ensure that the visualization is accessible and meaningful to them.

Case Study: How Infomaze Solved a Data Visualization Problem

A pest control services company was struggling with customer data management and profit analysis, limiting its ability to make informed business decisions.

Challenge Faced:
Client retention suffered from the company’s inability to track its contract invoices, split costs accurately, and locate its most profitable contracts.
Solution by Infomaze:
Infomaze had pest control management software, pitched with a business intelligence dashboard that is highly configurable. It included tons of widgets and calculations, such as contract invoices with clear profit splits, business intelligence charts, and so on.
Results:
We used these data visualization solutions to discover what contracts were most profitable for the company and aimed them in those directions, doubling profit margins. Additionally, data visualization and customized report BI tools improved decision making, resulting in an overall efficiency.

The company could then integrate tailored data visualization platforms to make informed business decisions and increase its profit. Here’s the kind of advantage you get when you Hire data visualization developers from Infomaze.

Conclusion: Get the Best Data Visualization Solutions with Infomaze

A strategic approach is needed to overcome the challenges of data visualization. It’s just as important to decide whether you should simplify cluttered visuals, pick the right chart type, or monitor data quality. Your business can use BI tools for data visualization solutions and the assistance of expert data visualization developers to unlock the full potential of its data.

With an entire team of skilled developers available for the creation of custom data visualization platforms, at Infomaze we have what you need. Whether you currently work with business intelligence charts to create impact or search for techniques for making data analysis easier, we are here to assist you.

Hire data visualization developers from Infomaze today, and we’ll turn your data into insightful, actionable information!