29 Jul, 2020
Who has never heard the famous expression “a picture is worth a thousand words”? This statement clearly shows the power of communication through images. But have you ever stopped to think that this idea can also be applied in the Data universe? It is increasingly common for companies and managers to use Big Data techniques and transform this data into much clearer graphics and images.
According to Júlio Monteiro Teixeira, PhD in Production Engineering at UFSC and professor of the Design Course and the Postgraduate Program in Design at UFSC, 80% of all the information that the human being captures from abroad and that is transported to the brain , is obtained visually. That is, it is much easier to understand some information when it is represented in a visual way.
The impacts that Data Visualization can generate in Big Data studies are great. With data visualization it is possible to extract the main information from Big Data. In corporate environments, it becomes much simpler to identify which areas need attention and improvement, it is also possible to understand the factors that influence the behavior of certain consumers and also makes it possible to forecast trends and even sales volumes.
Data Visualization: understand the concept and its application
The concept of Data Visualization is quite simple. This is a methodology for presenting and reading data. In addition, through Data Visualization it is possible to recognize trends and identify patterns in the data collected. All of this in a simple and visual way.
Have you ever stopped to think that each day we are more and more exposed to visual content? A 2019 survey by Provokers revealed that internet video consumption has grown by approximately 165% over the past five years. It is evident that the consumption of visual information is a huge trend worldwide.
Nowadays, data analysis is essential for different sectors of society. And this is exactly where the Data Visualization application comes in. After the data is collected, the next step is to organize it so that everyone involved in the process understands the results. And what would be the way to do that? Yes, with Data Visualization.
The representation of data through images is very powerful, they capture people's attention and interest, which helps in understanding the message transmitted. It is much easier to understand and identify information on a chart than it is simply described on paper.
Spreadsheets can be considered one of the most popular forms of Data Visualization. Much because of Excel, which popularized this form of data visualization. With spreadsheets you can organize just about everything. Financial balance of companies, personal tastes and even the organization at work can be done through spreadsheets.
The diagrams became famous in series and police films. Certainly you have seen in a scene, during investigations of a crime, photos and data of the investigated people nailed to the wall with their calls. This is the diagram. This way, it is much easier to analyze situations where there are connections between them. Thus it is possible for you to identify and arrest a criminal or even structure the processes of a company.
Usually this representation makes the junction between numbers, words and images. Diagrams are present in people's lives much more than they realize. Even to create a simple website you need to structure it with a diagram.
Another very common form of Data Visualization is the timelines. They work very well to tell stories in a simple way, but without losing any facts. The timelines allow to show the events in sequence, thus facilitating the reader's understanding. An example of a timeline is Timelinefy, a tool that organizes history in time.
The idea of the tool is simple: to make historical moments accessible and easy to understand. With it you can add multimedia, making each timeline a unique experience.
Famous at the time of election, the graphics make comparisons much easier to understand. The graph is the visual expression of the data, whether they are numeric or not, in different ways, which makes the understanding of the data more simplified. The types are the most diverse: column, bar, pie, lines and others.
Infographics are highly visual, they allow a very simple and efficient presentation of data. This is a combination of graphics, images, maps and other forms of data visualization, some short and summarized texts on the theme. Design is also strongly present in infographics, which makes the layout more attractive and, consequently, easier to understand.
The use of Data Visualization in the study of Big Data
The changes in the world are happening faster and faster, thanks to the Digital Age, companies and organizations have access to a huge amount of data daily. The term Big Data is something relatively recent, which was made official in 2005. Its complexity is extremely valuable, because with this data it is possible to make increasingly more assertive decisions. When these data are analyzed and understood correctly, the chances of success of the project involved are enormous, which considerably reduces the risk of errors and failures.
Although it seems simple, the concept of Big Data needs to be deepened. Well, Big Data can be understood as a combination of tools and processes that are used in the management of huge amounts of data sets. This concept was born from the need to understand the trends and patterns that the data showed.
Big Data is linked to Data Science. This data science is essential to understand details that can only be identified with detailed analysis. An example is the possibility of discovering who are the most valuable customers for the company and thus being able to generate a true experience and even develop exclusive products and services for them.
To analyze this huge amount of data, it is necessary to have an advanced software system, which allows a better observation of the information. With this, it is possible to reduce analysis time and improve decision making, retiring once and for all the old spreadsheets and reports. Data Visualization and Big Data have a close relationship, as one of the ways to present the results of Big Data analysis is through data visualization.
Do you know those research charts that make the numbers very clear? So, this is one of the ways to transform data into visual information. There are also histograms, matrix, tables, diagrams, maps, infographics and even timelines for presenting data. All of those mentioned belong to the Data Visualization methodology. The purpose of Data Visualization is to make data easier to understand. Once presented in a visual way, understanding is much more accessible.
As can be seen, the benefits that Data Visualization provides are incredible. This form of organization and display of data provides a better understanding and assimilation of information, making the experience of the reader much simpler.
Timelinefy, as we highlighted, is a digital tool for organizing information over time and that allows the user to create and share information in this structure. This tool can be used to better understand any topic or fact, being important for several business areas.