Stereolize creates stunning data visualization applications by implementing real-time data into interactive graphics and applications. Above all, our goal is to make the use of data intuitive and easy to comprehend. In other words, data, for us, has to be displayed in a way that facilitates decision making processes, whether for internal use or to engage with an audience.
With the massive adoption of Big Data and the Internet of Things, the visualization of data is more relevant every day. For this reason, our approach to data visualization focuses on bringing to life data, well beyond the use of graphs and charts. With the creation of graphics that represent real life applications, we show how datapoints affect the everyday activity inside a business or the real impact of a product in a client’s process.
The main challenge in visualizing data is combining storytelling with the truly important statistics. This is how decisions are made. Our visualizations of data always tell a story, highlighting the important trends and patterns that data provides. But, instead of just showing an emotionless dashboard, we reproduce real situations in which this data is applied.
These stories can then be used by almost anybody inside an organization. However, for us the key element in data visualization is that is going to be consumed by humans. Therefore, every graphic or representation has to enhance those elements that make data more digestible and understandable to the eye. As a matter of fact, good data visualization is a combination of science and creativity, where the simplicity of its design plays in favor of the Business Intelligence that is required by every project.
In this visual and technical area, we use the right tools to make sure everything is interactive. We consider that the final user has to be able to use and modify data depending on the purpose of the experience. Stereolize always keeps in mind users as those who need to understand the significance of what they are seeing by interacting with the visuals. Thus, manipulating the graphics allows diving deeper in the analysis, but almost in a playful manner.
We always start working on the actual scope of each visualization. Therefore, we approach each project imagining ways of showing data that guide users towards relevance rather than having them thinking about the technology and patterns required to create the visualization. This is important because it avoids distorting what the displayed data is really about. This coherence is what makes the whole purpose understandable for the human eye.
Of course, it is part of our work to produce playful interfaces inside an interactive environment where every object can be tracked. Thus, we focus on the implementation of real-time data into graphics and within high-end devices.
Consequently, this combination of scientific and creative elements is what allows the user to apply the data that is being visualized in the desired way. Because it’s for the user to decide what is the best manner to present the data. Our challenge is to consider at all times how the human perception and cognition of the visualization is going to function. As a result, this difficult process indicates the way to creating intuitive interfaces and visualizations.
Also very important is where the visualization is taking place and what is expected from the user. There are many different devices and applications in which data visualization is employed. For instance, an isolated exhibit that catches all the attention will be graphically designed in a completely different mode than a bigger screen in a trade show.
Furthermore, who is going to use this data is also relevant to the experience. If the visualization is part of a presentation, in which a speaker is controlling the displaying of the information, we have to take special care of how easy and intuitive the navigation is. While, if the users can directly access the device in which the project is being shown, this same navigation will require completely different steps, allowing more freedom when having to play around with the data.
Finally, the field of application is something else to consider. As an example, we could create a visualization of a fleet of vehicles in a logistics environment, in which the main goal is to understand efficiency, infrastructures and other patterns that will guide to an optimization process. On another level, data might offer information on which to react immediately, such as an IT infrastructure in which, once you detect a failure you must have options to attend the issue. These are just a couple of examples of the types of stories data visualizations can tell. Our job is to make them compelling and, most important, efficient for users to make decisions.
Data visualization is very broad field in which the number of applications is quite large. We offer you a couple of resources to allow you to investigate more on this topic. These pieces of information can come in handy when having to discuss a potential data visualization project inside your business. Although theoretical, these articles comprise the most important concepts to take into account to create useful and comprehensible visualizations.