Data Visualization

While the production of information is increasing day by day, the analysis, examination and evaluation of information is also becoming more complex. It is becoming difficult to extract meaningful data within the internal and external business processes of companies, to process large amounts of data or to present it in a traditional format such as plain text. For this reason, companies are pursuing various ways to make their large amounts of data easy and quick to understand. Data visualization is one of these solutions. We have compiled data visualization, one of the methods used by companies to process big data, for you.

Data visualization is a method that enables big data to be presented with visuals that match numerical data and graphic elements in order to make it understandable and easy to analyze. Data encoded with visual elements such as dots, lines, bars are much easier to understand. Data visualization techniques can be used as general graphics such as pie or bar according to the intended use of the data, or they can be prepared with methods such as maps, timelines, histograms.

In the preparation of data visualization, graphic design skills gain importance due to visual definitions and it is also seen as a branch of descriptive statistics due to its basic characteristics. In other words, many disciplines are used together. Data visualization method, which is included in many business intelligence tools, plays an important role in advanced analytics in data interpretation. While data visualization is explained as a scientific method, some argue that it is also a form of art. While discussing the new forms of expression and production methods that have emerged with the reflections of artificial intelligence on art, the acceptance that data visualization should be accepted as a type of modern art and discussions on its rejection continue. Considering all these qualities, it can be said that data visualization, which is used to understand complex phenomena, has an interdisciplinary structure.

Data visualization tools are often linked to data sources such as databases, and are prepared by processing the data stored in the cloud base. Data visualization is basically worked in two groups as infographic and dataviz. Infographic visuals are the transfer of information graphically by combining text, pictures, graphs, diagrams and video images into data for graphing. Since it is not prepared in a computer environment, it is more laborious than dataviz visuals, and since the amount of data is high, it turns into a kind of workload for the preparer. Another method, dataviz visuals, is an algorithmic structure that is predominantly computerized. It is more advantageous than infographics in high data amounts, and it is more practical to organise according to changing data. Therefore, it is preferred for big data. For related article; link

Data visualization is used to interpret the data obtained by companies from surveys, purchases or campaigns, or large amounts of data compiled by the workforce and stored in the cloud system. For this reason, the information needed by companies in the branding or institutionalization process is analysed and used to make relevant decisions and develop campaigns based on these decisions. Thus, it is a kind of road map in transforming the information obtained from data into business or guiding the workforce. It enables the company to gain insight in both communication and sales operations. These insights create the advantage of being prepared for possible crises or taking measures to prevent some problems from developing at all. It also helps accelerate operations in market conditions where global competition requires speed. Visualization and interpretation of data, especially in multinational companies or foreign trade actors; creates the advantage of being able to express in a single universal language.