Data visualization has become a critical part of business analytics and an essential element for business communications. Without visualization, numbers and analysis statistics are difficult to interpret , rendering them incomprehensible to those who must convert data into knowledge. The arrival of large volumes of data implied the rise of the need for visualization in business, as the most appropriate technique for compressing large volumes of data into accessible presentations . Business intelligence and analytics professionals need to communicate as effectively as possible in visual formats , just as much as they do with their verbal and written communication skills . The basics of data visualization consist of going through: - From the abstract to the concrete. - From the processable to the processed. - From the raw to the elaborate. Visualization is the best support for business analytics , providing a graphic representation that amplifies knowledge immediately. It allows you to come into contact with large volumes of information at a single glance, to be able to explore and understand its meaning in seconds.
Among the main benefits of data visualization for business analytics are: - Allow the user to delve deeper into the data and come up with new hypotheses. - Draw conclusions and interact directly with the data. - Explore large databases quickly and easily. Easily deal with heterogeneous data . - Allow users to obtain information quickly and achieve understanding . - Make decisions in a Phone Number List relatively short period of time. Know what surrounds the data. Not needing the understanding of mathematical or statistical algorithms or complex parameters, to be totally intuitive. - Overcome the limitations of traditional text- based systems. Business analytics and the myths of visualization Business analytics is enriched by this ability, however, not everything that is said is true and, therefore, it is necessary to dispel some common myths about data visualization : 1. Data is visualized because some people have a photographic memory. : While it is true that some people have greater visual -related cognitive abilities than others and that some people have a greater interest in images than others, all people with normal perceptual abilities are predominantly visual.
Everyone can benefit from data visualization. 2. Data visualization is applied in cases of people with difficulties understanding numbers : although some people feel more comfortable than others when faced with a mathematical expression or the quantification of information, even the most brilliant mathematicians benefit from seeing data presented in graphical format. 3. Data visualization is intended to capture attention, although its informative potential is minimal: there is no need to sacrifice content for appearance. A way of presenting the data can be chosen that is optimally informative, pleasing to the eye and attractive. If you subtract the utility, the visualization stops making sense for business analytics. 4. Charts provide the best way to tell the stories contained in the data : The usefulness of charts is obvious. It could be said that they become essential in some cases. But there are times when they only act as a complement to a data-driven narrative , which is better expressed in words and numbers rather than images. Related posts: Best methods for data decoding Digital marketing and data visualization: an essential communion Open data and the need for interoperability.