Humans respond faster to visuals than other types of responses to data representation. The advancement of data visualization methods has become one of the hottest and most attractive aspects for many businesses.
For instance, If we take a closer look at the current scenario. We can see that businesses are standing in the mountains of data that serve as information treasure.
If business customers have access to this information, they can make more information and data-based decisions for the organization’s benefit.
In 2019, we saw a lot of changes and updates in data representation. The changes will continue to mature and become more useful than ever.
The data visualization trends included in this blog will help you get a clearer picture. Before proceeding, let us first raise an essential question.
Why is data visualization important?
The human brain responds easily and quickly to images, scenes, maps, and graphs compared to how it responds to spreadsheets and reports.
Data representation tools can help you interpret your data far more easily. Additionally, you can adjust the reports to get meaningful insights by making minimal changes.
Data pattern techniques are the optimal solution for the following situations.
Identify areas that need your attention to improve
Discover factors that affect user behavior
Optimize activities, functions, and processes
Analysis of future disorders and the best way to prevent them
Top 7 data visualization trends in 2020
Look beyond graphs and charts
Although graphs and charts seem an indispensable part, there are a lot of data representation services.
As we move forward and simplify and present your data in an easily understandable form, these tools create meaningful insights to allow you to make more profitable decisions.
They will empower you as well. Google Charts enriches data visually with the addition of search consoles, maps, and more.
Data visual integrates social media into its landscape, thereby increasing the number of followers. However, Data researchers have also recognized this trend and are looking at ways to make data visual more social media-friendly.
Since social media is not so easy to attract users attention, you need to make sure that the data is in a displayable and visual form. Some examples of social media visualization are images, GIFs, and YouTube videos.
Access data more easily
Long before modern businesses suffered from data inaccessibility. The era of access to data and information for IT alone was over. Allowing all users within the organization to access data, edit reports, and gather insights.
With the introduction of self-service business intelligence and advanced data representation technologies, business customers can access data anywhere and anytime.
With the drag and drop functionality, data patterns encourage users to access, visualize, and analyze data.
Additionally, data representation tools and techniques allow users to create customized dashboards. That addresses their specific business needs with just a few clicks.
Tell the story more interestingly
People love stories, and the concept of data visualization to tell a story is rapidly gaining popularity.
In 2020, data visualizers need to communicate great experiences and deliver accurate messages to get the most data patterns.
Creating exciting and straightforward stories from complex data can be a daunting task, but if done correctly, telling a story puts you ahead of the curve.
Become a Data Journalist
Displaying information in the form of graphs and charts allows you to capture details in a way that is easy to understand over a long period. Therefore, we see that media houses have been using data graphs for a long time to display trends.
Most businesses use the same capabilities to summarize the information scattered in a spreadsheet and target market segments.
Bring intelligence into action
With artificial intelligence, businesses are becoming smarter than ever. AI-powered data representation helps companies find the information they are looking for and suggests what they are looking for regarding business purposes.
Machine Learning (ML) and Natural Language Processing (NLP) can be incorporated into segment-critical insights from data, reducing the data visualization workload for humans.
Enjoy multi-device support
The future is mobile, but now there is a combination of multiple devices, including desktop, tablet, mobile, and more. Moreover, technology is not good at anything that does not offer all its features and benefits on different platforms.
Data Visualization is developing the ability to provide mobile users with the same experience as desktop users. It doesn’t matter what devices you use in the coming years.
With the passing of each day, data visualization is becoming more robust and straightforward, allowing the end-user to rely on it. It ensures that business customers understand data, access functional insights, and overcome challenges very quickly.
The current shift in data visualization suggests that this technology empowers people. To conquer business challenges and increase customer satisfaction by making knowledgeable decisions.
Advances in data visualization are encouraging a shift towards analytically driven businesses where decision-makers access data in various graphical forms.