Data visualisation aims to make data analysis and analytics results easier to understand and interpret. Its added value is significant, as it contributes to comprehending and correctly understanding large data sets. In this blog post, we have gathered the 5 data visualisation trends that characterise 2023!
The significance of data visualisation can be captured in the fact that the human brain is sixty thousand times better at interpreting data, easier to see connections, and more efficient at storing information in memory that it can visually see. And data is abundant: the IDC Worldwide Global Forecast predicts that by 2025, consumer and business data will total 175 zettabytes, an unimaginable amount.
Data visualisation helps businesses to immerse themselves in the data available, to look deeper, to discover the connections, and to make business sense of it.
Let's look at 5 data visualisation trends to watch out for in 2023!
Real-time data management is an expectation in many business areas. Data can be seen in real-time, i.e. it is constantly updated, so, understandably, we want to see it in visual solutions. Real-time data allows us to know about a problem as it happens, allowing us to react quickly and minimise damage. This not only takes problem-solving to a higher level but also helps to improve customer retention, for example.
Video content now outperforms text and images by leaps and bounds, capturing and holding attention much more easily. Video content is a powerful aid to understanding, a highly effective way of delivering a message, and one that is preferred by recipients over other solutions.
Video solutions can be very diverse, for example, classic videos, but video infographics are also, particularly good data visualisation solutions. These are essentially infographics that move, making them more dynamic and visual.
Democratisation in this sense means that data is power, but everyone can compete to get it. Thanks to today's modern software solutions, even a small organisation can harness the potential of data, and it is not just the privilege of the big players.
Importantly, these computer programs are well-designed, logical, transparent, and easy-to-use systems, so that even those with limited knowledge of data analysis can learn to use them. Up to a certain level, anyone can understand and use this coding-free software, which has been specifically designed to be intuitive to use.
Data analysis does not necessarily require data scientists. Of course, after a certain level of depth, you need a solid skill set, but basically, you can say that the ability to analyse data is given to all levels of the organisation.
Artificial intelligence and machine learning are dominant trends in almost every aspect of our lives. They will also play an important role in the visualisation of data, in the sense that they will take a significant burden off the shoulders of workers thanks to their automated processing and efficiency.
The fact that people are increasingly using their mobile phones rather than their computers for more internet activities is very important for the future of data visualisation. Smartphones are now in every pocket and can be introduced anywhere and anytime as tiny computers. So data visualisation needs to be seen not just on the big screen, but also on small mobile screens.
Should the content not be mobile-compatible, it could lead to a loss of users. It is very difficult to make up for a disappointed user, and a few bad experiences and he will certainly look to the competition for solace. Of course, they may not simply be presented with compelling, attention-grabbing content, but ultimately, this will lead to churn.
The rise of data visualisation in the digital marketplace is inevitable as more and more businesses seek to exploit the potential of data. These modern solutions will become an indispensable part of future development and progress. Those who do not rely on the power of data will not have a chance to compete.
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